Value ranking
Best value on Terminal-Bench 2
As of October 25, 2026, the best value on Terminal-Bench 2 is GPT-5 nano, at 904.80 normalized points per dollar of input price ($0.03 per million tokens, score 22.6).
Long-horizon shell-and-filesystem tasks executed in a sandboxed terminal, scored by whether the agent's final state matches a target state. Tests practical tool-using ability for everyday devops and data-wrangling work; one of the hardest agentic benchmarks today.
“Value” is normalized benchmark score (0–100 for this leaderboard cohort) divided by input price per million tokens. Higher means more capability per dollar on this axis only — always sanity-check latency, context length, and your real workload.
- 1GPT-5 nanoOpenAI904.8022.6 / $0.03/M
- 2GPT-5 miniOpenAI309.2038.6 / $0.13/M
- 3Gemini 3 FlashGoogle299.4074.8 / $0.25/M
- 4GPT-5.1-Codex-MiniOpenAI286.1671.5 / $0.25/M
- 5Qwen3.6 35B A3BAlibaba (Qwen)261.0026.1 / $0.10/M
- 6MiniMax M2.7MiniMax170.7751.2 / $0.30/M
- 7MiniMax M2.5MiniMax161.0748.3 / $0.30/M
- 8DeepSeek V3DeepSeek153.3144.5 / $0.29/M
- 9Grok Code Fast 1xAI138.0027.6 / $0.20/M
- 10MiniMax M2.1MiniMax136.2040.9 / $0.30/M
- 11MiniMax M2MiniMax128.4732.8 / $0.26/M
- 12gpt-oss-120bOpenAI125.4018.8 / $0.15/M
- 13Gemini 2.5 FlashGoogle112.3316.9 / $0.15/M
- 14Qwen3 Coder 480B A35BAlibaba (Qwen)97.5329.3 / $0.30/M
- 15Gemini 3.1 ProGoogle94.4794.5 / $1.00/M
- 16GPT-5.1OpenAI86.9654.4 / $0.63/M
- 17GPT-5.2OpenAI86.4975.7 / $0.88/M
- 18Kimi K2Moonshot (Kimi)85.8849.0 / $0.57/M
- 19GPT-5.4OpenAI77.1396.4 / $1.25/M
- 20GLM-4.7Zhipu AI (GLM)61.4736.9 / $0.60/M
- 21GLM 5Zhipu AI (GLM)60.2860.3 / $1.00/M
- 22Gemini 2.5 ProGoogle57.5436.0 / $0.63/M
- 23GPT-5.1-Codex-MaxOpenAI56.1370.2 / $1.25/M
- 24GPT-5.1-CodexOpenAI53.5266.9 / $1.25/M
- 25Grok 4.20xAI53.0366.3 / $1.25/M
AI Model Analyzer does not recommend specific vendors; rankings are derived from public data only.