APEX Agents benchmark
33 AI models ranked on APEX Agents. Each row shows the model’s score next to its cheapest API price per 1M tokens where it has one, so you can weigh quality against cost.
Top model today
Gemini 3.5 Flash (Google) leads at 47%, from $1.50 per 1M input via Google.
Data via arXiv:2601.14242 →Models ranked
33
on this benchmark
Top score
47%
current leader
Type
Single eval
benchmark
Updated
Oct 14, 2026
benchmark scores
Cost vs APEX Agents
31 priced modelsEach labelled name links to that model’s page. Curated to the cost-efficiency frontier, top scorers and cheapest so labels stay readable; the full field is in the leaderboard table below (and via “select all”). Reasoning models (extended “thinking” before answering) carry a ring around the dot.
Models ranked on APEX Agents
highest score first · 33 models| # | ||||||
|---|---|---|---|---|---|---|
| 1 | Gemini 3.5 Flash | 47% | $1.50 via Google | $9.00 via Google | ||
| 2 | Qwen3.8 Max (0902) | 42% | $2.00 Routed quote | $6.00 Routed quote | ||
| 3 | Kimi K3 | 41% | $0.70 Routed quote | $12.50 via Sail | ||
| 4 | GPT-5.6 Terra | 39% | $2.00 via OpenAI | $12.00 via OpenAI | ||
| 5 | Step 5 Preview | Stepfun | 38% | n/a | n/a | |
| 6 | GPT-5.5 | 38% | $5.00 via OpenAI | $30.00 via OpenAI | ||
| 7 | GPT-5.6 Luna | 36% | $0.20 via OpenAI | $1.20 via OpenAI | ||
| 8 | GLM 5.2 | 34% | $0.05 Routed quote | $1.98 via Scx AI | ||
| 9 | GPT-5.4 | 33% | $2.50 via Databricks | $15.00 via OpenAI | ||
| 10 | Claude Opus 4.6 | 33%reasoning: adaptive | $5.00 via Anthropic | $25.00 via Anthropic | ||
| 11 | Gemini 3.1 Pro Preview | 32% | $2.00 via Google | $12.00 via Google | ||
| 12 | Apodex 1.1 | Apodex | 31% | n/a | n/a | |
| 13 | Kimi K2.6 | 28% | $0.65 via Wandb | $3.40 via Novita | ||
| 14 | GPT-5.4 Mini | 28% | $0.75 via Databricks | $4.50 via OpenAI | ||
| 15 | Claude Sonnet 4.6 | 28%reasoning: adaptive | $3.00 via Databricks | $15.00 via Anthropic | ||
| 16 | Gemini 3 Flash | 28%reasoning: true | $0.50 Routed quote | $3.00 Routed quote | ||
| 17 | inclusionAI: Ling 3.0 Flash Fin | Other | 27% | $0.075 Routed quote | $0.22 Routed quote | |
| 18 | GPT-5.4 Nano | 25% | $0.20 via Databricks | $1.25 via Databricks | ||
| 19 | DeepSeek V4 Pro 0423 | 24% | $0.435 via Tencent | $0.87 via Tencent | ||
| 20 | Qwen3.7 Plus | 22% | $0.282 via Aihubmix | $1.13 via Aihubmix | ||
| 21 | Grok 4.3 | 17% | $1.25 via xAI | $2.50 via xAI | ||
| 22 | Qwen3.5 397B A17B | 15% | $0.164 via Aihubmix | $0.986 via Aihubmix | ||
| 23 | Step 3.7 Flash | Other | 15% | $0.20 via DeepInfra | $1.15 via DeepInfra | |
| 24 | DeepSeek V3.2 | 15%reasoning: true | $0.259 Routed quote | $0.38 via DeepInfra | ||
| 25 | GLM 5 | 14% | $0.60 via DeepInfra | $1.92 Routed quote | ||
| 26 | Grok 4 20 0309 | 14% | $1.25 via xAI | $2.50 via xAI | ||
| 27 | Gemini 3.1 Flash Lite Preview | 12% | $0.25 via Google | $1.50 via Google | ||
| 28 | Kimi K2.5 | 12% | $0.45 via DeepInfra | $2.25 via DeepInfra | ||
| 29 | MiniMax M2.7 | 11% | $0.25 via DeepInfra | $0.55 via Pinstripes | ||
| 30 | gpt-oss-120b | 3% | $0.03 via Wandb | $0.17 via DeepInfra | ||
| 31 | MiMo-V2.5-Pro | 2% | $0.435 Routed quote | $0.87 Routed quote | ||
| 32 | Nvidia Nemotron 3 Super 120B A12b | 2% | $0.085 via DeepInfra | $0.40 via DeepInfra | ||
| 33 | gpt-oss-20b | 1% | $0.0145 via Darkbloom | $0.07 via Darkbloom | ||
| — | Nemotron 3 120B A12b | 2%Artificial Analysis did not report this score in its latest run on Oct 14, 2026 | $0.50 via Cloudflare | $1.50 via Cloudflare |
Frequently asked questions
What is the APEX Agents benchmark?
APEX (AI Productivity Index for Agents) is a benchmark of 480 long-horizon, cross-application tasks written by investment-banking analysts, management consultants and corporate lawyers, testing whether agents can autonomously complete realistic professional workflows using files and tools. Graded against task-specific rubrics.
Which AI model scores highest on APEX Agents?
Gemini 3.5 Flash (Google) leads with 47%, from $1.50 per 1M input tokens from Google.
How many models are ranked on APEX Agents?
33 models carry an APEX Agents score. Scores come from Artificial Analysis; where a model has a listed API price it is drawn from LiteLLM and OpenRouter, and models with no current price are listed without one.
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