🌍A 65.3FlagshipClosed
Anthropic
Anthropic's latest flagship Opus-tier model, released on September 22, 2026, matches Claude Fable 5.1 on most tasks while costing about 40% less to run than Opus 5. It focuses on long-horizon, highly autonomous agents, building/debugging/refactoring/code review for large-scale codebases, and end-to-end enterprise workflows; it supports cross-session memory learning, sub-agent orchestration, and Fast mode (up to 2.5x speed).
Availability
Global (excluding mainland China)
Composite score65.3/100
Capability100
Scale37
Value34
Context61
Ecosystem36
Freshness89
Capability benchmarkNew releaseLong-context king
Output / 1M tokens$20USD
Input $4
※ Official product page (anthropic.com/claude/opus, verified 2026-10-24): input $4 / cache read $0.2 / output $20 per million tokens, 20% lower than Opus 5, with cache reads 60% cheaper; Fast mode $8/$40; US-based inference billed at 1.1x; Batch at 50% off
vs_Claude_Fable_5.1 Parity on most workloadsvs_Opus_5_cost Typical workload cost -40%
Large-scale codebase agent programmingEnd-to-end enterprise workflowsLong-horizon autonomous agents
How to access
Claude API (model name claude-opus-5-5) / AWS Bedrock / Google Cloud / Microsoft Foundry; included in Pro, Max, Team, Enterprise subscriptions. Not directly available in mainland China.
Zhipu AI's new-generation flagship model released on August 14, 2026, with 743B parameters. Built on the same base as GLM-5.2, its coding capability is improved by 50% over GLM-5.2 through post-training scaling (IndexShare, SAO, and the open-source Slime reinforcement learning framework). It ranks first among open-source models on Terminal Bench 3.0 and Agents' Last Exam (CLI), with agent capabilities on par with Kimi K3, Claude Opus 4.8, and Claude Fable 5. It is now available to all users of ZCode, AutoClaw, and the GLM Coding Plan; full weights will be open-sourced within two weeks, and the API is coming soon.
7×cheaper than GPT-5.5 (output $/M)
Composite score62.1/100
Capability79
Scale29
Value64
Context41
Ecosystem70
Freshness68
Output / 1M tokens$4.4USD
Input $1.4
※ Overseas pricing (Z.ai official pricing page https://docs.z.ai/guides/overview/pricing, reviewed on 2026-10-24): $1.4 input / $4.4 output per million tokens (cache hit $0.26, cache storage free for a limited time).
Terminal_Bench_3.0 Open-source #1Agents_Last_Exam_CLI Open-source #1
AI coding (coding platforms such as ZCode/Claude Code)Long-horizon agent tasksComplex software engineering
How to access
Now available on ZCode / AutoClaw / GLM Coding Plan; weights are open source, API offered via open.bigmodel.cn and z.ai.
A 2.8T-parameter frontier flagship model released by Moonshot AI in July 2026, featuring an 896-expert MoE architecture with 16 experts activated per token, and unified pricing for 1M context with no tiered surcharges. Its KDA hybrid attention mechanism delivers 6.3x decoding speedup; its front-end programming capability ranks first globally, and its coding and reasoning match Claude Opus at half the cost. Open weights released on July 27, 2026.
2×cheaper than GPT-5.5 (output $/M)
Parameters
2.8T MoE (16 experts active)
Composite score56.7/100
Capability73
Scale35
Value37
Context61
Ecosystem63
Freshness58
Long-context king
Output / 1M tokens$15USD
Input $3
※ Overseas pricing (Moonshot/Kimi official pricing page): $3.00 input (cached input $0.30) / $15.00 output per 1M tokens. Mainland-China pricing (¥20/¥100) is shown on the Chinese page
Frontend_coding #1 globallyArtificial_Analysis_Index Top tier
Coding agentLong-context reasoningComplex multi-step tasks
How to access
API at platform.moonshot.cn and kimi.ai. OpenAI SDK compatible—migration cost is nearly zero. Open weights plan to be released on July 27.
🌍B 54.3FlagshipClosed
OpenAI
A new-generation model family released by OpenAI on July 9, 2026, in three tiers: the flagship Sol, the mainline Terra, and the lightweight Luna. Luna is designed for low cost and high throughput, with about 62% fewer factual errors than GPT-5.5 Instant. Permanent price cuts take effect from July 30: Luna down 80%, Terra down 20%; Sol adds a Fast mode (double the price, 2.5x the speed).
Availability
Global (excluding mainland China)
Composite score54.3/100
Capability43
Scale35
Value85
Context76
Ecosystem44
Freshness48
Long-context king
Output / 1M tokens$1.2USD
Input $0.2
※ Luna pricing; permanent cuts from July 30: Terra $2/$12 (-20%), Luna $0.2/$1.2 (-80%); Sol Fast mode 2x price for 2.5x speed
Artificial Analysis Luna beats DeepSeek V4-Pro on cost-efficiency
Batch text processingHigh-throughput agentsEnterprise-grade agents
How to access
Direct API access via platform.openai.com. Not directly available in mainland China.
DeepSeek flagship MoE model (model version DeepSeek-V4-Pro-0813), supporting 1M context and 384K max output, with thinking mode enabled by default, and supporting JSON output, tool calling, Responses API, and Anthropic API-compatible format.
15×cheaper than GPT-5.5 (output $/M)
Parameters
1.6T MoE (49B active)
Composite score49.3/100
Capability40
Scale35
Value73
Context77
Ecosystem78
Freshness0
Long-context king
Output / 1M tokensOff-peak$1.98USD
Input $0.66
⚡ Peak Input $1.32 · Output $3.9601:00–04:00 / 06:00–10:00 UTC, Mon–Fri
※ Overseas pricing (DeepSeek official international pricing page https://api-docs.deepseek.com/quick_start/pricing/ , reviewed 2026-10-24): off-peak $0.66 input (cache hit $0.022) / $1.98 output per million tokens, half of the standard peak price ($1.32/$3.96). Peak hours are UTC Monday to Friday 01:00–04:00 and 06:00–10:00 (excluding Chinese statutory holidays); all other periods, including weekends and holidays, are off-peak. Web search: Search / Fetch API each ¥5 / 1,000 successful requests (≈$0.74, average ¥0.005 per request); calling Search / Fetch via server-side tools in DeepSeek Harness / Claude Code / Codex is currently free, and will be billed per request starting 2026-11-01 00:00 (Beijing time).
SWE-bench_Verified 80.6%Codeforces 3206
Complex reasoningLong document analysisCode generation
How to access
Called directly via api.deepseek.com, supporting both OpenAI and Anthropic formats; requires a Chinese payment method or international credit card for top-up.
🌍D 34.8FlagshipClosed
Google
Google's 2026 flagship model with 1M-token context and advanced multimodal capabilities. Released on July 15, 2026, focusing on enterprise applications and developer tools.
Composite score34.8/100
Capability31
Scale35
Value31
Context35
Ecosystem51
Freshness51
Output / 1M tokens$12USD
Input $2
※ Per Google Cloud Vertex official pricing (Gemini Pro tier, global): $2.00/$12.00, matching Artificial Analysis (gemini-3-pro, $2/$12). The previous $5/$15 was mis-entered during the 2026-09-23 data recovery with no source; corrected 2026-10-11
Enterprise applicationsDeveloper toolsMultimodal content processing
How to access
Direct API access via Google Cloud. Available in most regions including mainland China via international services.
🇨🇳D 27.9BudgetClosed
ByteDance
ByteDance's flagship large model released on February 14, 2026, achieving gold-medal level in IMO/CMO math competitions and ICPC programming contests, surpassing Gemini 3 Pro on the Putnam benchmark. All-around multimodal, scientific reasoning, and Agent capabilities, with over 100 million monthly active users.
13×cheaper than GPT-5.5 (output $/M)
Availability
China (Volcano Engine)
Composite score27.9/100
Capability35
Scale35
Value35
Context30
Ecosystem51
Freshness0
Output / 1M tokens$2.35USD
Input $0.47
※ Domestic pricing (Volcano Engine Ark console model page, checked 2026-10-11): ¥3.2 input / ¥16 output per 1M tokens (≤32K input tier; tiered billing above that). No USD price exists — this model is China-only: the BytePlus international console returns 'the current region does not currently support accessing this page' for doubao-seed-2-0-pro / seed-2-0-pro, and OpenRouter carries only the Code/Lite/Mini siblings, not Pro. The English page therefore shows the domestic CNY price
IMO_CMO Gold medalICPC Gold medal
Math competition-level reasoningMultimodal content creationEveryday conversation (over 100 million MAU)
How to access
Provided via ByteDance Volcano Engine. Primarily China; global access restricted.
🌍FlagshipClosed
Google Dee
Google's newest frontier model, released October 14, 2026, built for the hardest real-world tasks in coding, finance, law, cybersecurity and science. It ranks #1 on the Vals Index for economically valuable work, supports up to 1,048,576 output tokens sharing a single 1M-token context window with input and thinking, and cuts harmful-request violation rates by nearly half versus the previous Gemini generation.
Max Output
1,048,576 Tokens
Output / 1M tokens$10USD
Input $2
※ Limited-time introductory pricing announced at launch (2026-10-14): $2 input / $10 output / $0.10 cached input per 1M tokens. After the introductory promotion ends on 2026-11-30, pricing rises to $4 input / $20 output / $0.20 cached input
Vals_Index #1 (finance, coding, legal, tax)
Large-scale codebase refactoringLegal and financial workflow automationCybersecurity vulnerability discovery and remediation
How to access
Available worldwide to developers and enterprises via Google AI Studio and the Gemini platform API; also included for Google AI Ultra subscribers on Google Antigravity and for AI Ultra/Pro subscribers in the Gemini app and Search AI Mode. No Chinese payment method required.
Meta's flagship frontier model released October 13, 2026, which Mark Zuckerberg says puts the company back at the AI frontier. Meta claims it outperforms Anthropic's Claude Opus 5.5 and Fable 5.1 and OpenAI's GPT-6 Astra on some technical benchmarks, with strong advanced coding and improved multi-turn memory. It is closed-source, with the strongest tier sold directly to enterprises.
Availability
Global (excluding mainland China)
Output / 1M tokens$0.2USD
Input $0.2
※ Meta announced tiered pricing at launch (2026-10-13): basic calls start at a minimum of $0.20 per 1M tokens, while the higher-capability Muse Wonder Full tier is charged up to $200 per month. Meta has not yet published a complete per-token input/output price list, so the input and output fields show the announced $0.20/1M-token floor
vs_Claude_Opus_5.5_Fable_5.1_GPT-6_Astra Outperforms on some benchmarks (Meta claim)
Advanced software engineeringLease contract and financial document analysisHealth and financial information synthesis
How to access
Closed-source; the strongest tier is sold directly to enterprises. Meta plans to integrate the model into its Muse personal AI assistant app. No Chinese payment method required.
Gemini 3.1 Pro Preview is Google's frontier reasoning model, built on a multimodal foundation and positioned for demanding, complex workflows. It offers a 1M-token context window and delivers enhanced software engineering performance, improved agentic reliability, and more efficient token usage. Priced at 2.0 USD per million input tokens and 12.0 USD per million output tokens, it suits advanced reasoning, coding, and agent-driven tasks.
3×cheaper than GPT-5.5 (output $/M)
Output / 1M tokens$12USD
Input $2
※ Verified via OpenRouter live pricing (2026-11-02): $2.0 input / $12.0 output per million tokens.
Complex software engineering workflowsAgentic task executionLarge-context reasoning
How to access
Available via Google API and OpenRouter.
GPT-5.2 is OpenAI's latest frontier-grade model in the GPT-5 series, delivering stronger agentic and long-context performance than GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly while scaling effort as needed. The model supports a 400K-token context window. Priced at 1.75 USD per million input tokens and 14.0 USD per million output tokens, it targets demanding agentic and long-context workloads.
2×cheaper than GPT-5.5 (output $/M)
Output / 1M tokens$14USD
Input $1.75
※ Verified via OpenRouter live pricing (2026-11-02): $1.75 input / $14.0 output per million tokens.
Agentic workflowsLong-context tasksDemanding frontier-grade workloads
How to access
Available via OpenAI API and OpenRouter.
GPT-5.1 is OpenAI's latest frontier-grade model in the GPT-5 series, delivering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style than GPT-5. It uses adaptive reasoning and supports a 400K-token context window. Priced at 1.25 USD per million input tokens and 10.0 USD per million output tokens, it suits demanding general-purpose reasoning, instruction-following, and conversational workloads.
3×cheaper than GPT-5.5 (output $/M)
Output / 1M tokens$10USD
Input $1.25
※ Verified via OpenRouter live pricing (2026-11-02): $1.25 input / $10.0 output per million tokens.
General-purpose reasoning tasksInstruction-following workloadsConversational applications
How to access
Available via OpenAI API and OpenRouter.
GPT-5.4 is OpenAI's latest frontier model, unifying the Codex and GPT lines into a single system. It offers a 1M+ token context window with 922K input and 128K output capacity, supporting long-document and large-codebase workloads. Priced at 2.5 USD per million input tokens and 15.0 USD per million output tokens, it targets demanding coding, reasoning, and agentic tasks within a unified architecture.
2×cheaper than GPT-5.5 (output $/M)
Output / 1M tokens$15USD
Input $2.5
※ Verified via OpenRouter live pricing (2026-11-02): $2.5 input / $15.0 output per million tokens.
Large-codebase developmentLong-document analysisAgentic workflows
How to access
Available via OpenAI API and OpenRouter.
GPT-5.5 is OpenAI's frontier model built for complex professional workloads, succeeding GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It offers a 1.1M token context window and is priced at 5.0 USD per million input tokens and 30.0 USD per million output tokens, positioning it as a premium-tier option for demanding, long-context work.
Output / 1M tokens$30USD
Input $5
※ Verified via OpenRouter live pricing (2026-11-02): $5.0 input / $30.0 output per million tokens.
Complex professional workloadsLong-context document processingHard reasoning tasks
How to access
Available via OpenAI API and OpenRouter.
🇨🇳Open · Open weights
Zhipu AI
GLM-5.1 is a Zhipu AI model that delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, it can work independently and continuously on extended tasks. It offers a 205K token context window. Priced at 1.4 USD per million input tokens and 4.4 USD per million output tokens, it suits sustained coding and long-running autonomous work.
7×cheaper than GPT-5.5 (output $/M)
Output / 1M tokens$4.4USD
Input $1.4
※ Verified via OpenRouter live pricing (2026-11-02): $1.4 input / $4.4 output per million tokens.
Long-horizon coding tasksAutonomous multi-step development workExtended independent task execution
How to access
Available via Zhipu AI API and OpenRouter.
🇨🇳Open · Open weights
Zhipu AI
GLM-4.6 is Zhipu AI's successor to GLM-4.5, expanding the context window from 128K to 200K tokens to handle more complex inputs. It targets long-context reasoning and generation workloads, with pricing at 0.5 USD per million input tokens and 2.0 USD per million output tokens, positioning it as a cost-conscious option for extended-context tasks.
15×cheaper than GPT-5.5 (output $/M)
Output / 1M tokens$2USD
Input $0.5
※ Verified via OpenRouter live pricing (2026-11-02): $0.5 input / $2.0 output per million tokens.
Long-document processingComplex multi-step reasoningExtended-context generation
How to access
Available via Zhipu AI API and OpenRouter.
Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs and produces text output, and is positioned for agentic workflows, instruction-following tasks, and applications requiring high factual accuracy. The model supports a 1M-token context window. Pricing is set at 1.25 USD per million input tokens and 2.5 USD per million output tokens, positioning it for cost-sensitive deployments at scale.
12×cheaper than GPT-5.5 (output $/M)
Output / 1M tokens$2.5USD
Input $1.25
※ Verified via OpenRouter live pricing (2026-11-02): $1.25 input / $2.5 output per million tokens.
Agentic workflowsInstruction-following tasksFactual accuracy applications
How to access
Available via SpaceXAI API and OpenRouter.
Gemini 3.5 Flash is Google's high-efficiency multimodal model, delivering near-Pro-level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution, and supports a 1M-token context window. Priced at 1.5 USD per million input tokens and 9.0 USD per million output tokens, it targets cost-sensitive, high-throughput workloads.
3×cheaper than GPT-5.5 (output $/M)
Output / 1M tokens$9USD
Input $1.5
※ Verified via OpenRouter live pricing (2026-11-02): $1.5 input / $9.0 output per million tokens.
High-throughput coding tasksParallel agentic executionCost-sensitive reasoning workloads
How to access
Available via Google API and OpenRouter.
Gemini 3.8 Flash is Google's most intelligent Flash model, delivering significant gains over 3.7 Flash in software engineering, agentic tasks, and multi-step reasoning. It offers a 1M-token context window and is priced at 0.825 USD per million input tokens and 4.125 USD per million output tokens, positioning it as a capable, cost-conscious option for demanding workloads. Typical uses include coding, agentic workflows, and complex multi-step reasoning.
7×cheaper than GPT-5.5 (output $/M)
Output / 1M tokens$4.13USD
Input $0.83
※ Verified via OpenRouter live pricing (2026-11-02): $0.825 input / $4.125 output per million tokens.
Software engineeringAgentic workflowsMulti-step reasoning
How to access
Available via Google API and OpenRouter.
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It accepts text, image, and file inputs and produces text output, with reasoning support and a 1M-token context window. Priced at 5.0 USD per million input tokens and 25.0 USD per million output tokens, it is positioned as a premium flagship offering for demanding workloads that require strong reasoning and large-context processing.
Output / 1M tokens$25USD
Input $5
※ Verified via OpenRouter live pricing (2026-11-02): $5.0 input / $25.0 output per million tokens.
Large-context document analysisComplex reasoning tasksMultimodal input processing
How to access
Available via Anthropic API and OpenRouter.
🇨🇳Open · Open weights
Moonshot A
Kimi K2.6 is Moonshot AI's next-generation multimodal model, positioned for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go within a 262K-token context window. Pricing is set at 0.65 USD per million input tokens and 3.41 USD per million output tokens, supporting sustained agentic and development workflows.
9×cheaper than GPT-5.5 (output $/M)
Output / 1M tokens$3.41USD
Input $0.65
※ Verified via OpenRouter live pricing (2026-11-02): $0.65 input / $3.41 output per million tokens.
End-to-end coding tasksUI/UX generation from codeMulti-agent orchestration
How to access
Available via Moonshot AI API and OpenRouter.