Value ranking
Best value on FrontierMath Tiers 1-3
As of October 25, 2026, the best value on FrontierMath Tiers 1-3 is GPT-5 nano, at 640.40 normalized points per dollar of input price ($0.03 per million tokens, score 16.0).
Mathematical research problems spanning analysis, algebra, combinatorics and number theory. Tiers 1-3 are progressively harder; even frontier reasoning models only solve a small fraction. The hardest publicly reported benchmark for general mathematical reasoning.
“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 nanoOpenAI640.4016.0 / $0.03/M
- 2GPT-5.4 NanoOpenAI500.2050.0 / $0.10/M
- 3GPT-5 miniOpenAI421.5252.7 / $0.13/M
- 4Gemini 3 FlashGoogle275.7668.9 / $0.25/M
- 5Qwen3.5-FlashAlibaba (Qwen)184.7712.0 / $0.07/M
- 6Qwen3.6 PlusAlibaba (Qwen)155.9750.7 / $0.33/M
- 7GPT-5.4 MiniOpenAI145.8754.7 / $0.38/M
- 8Qwen3.6 FlashAlibaba (Qwen)106.7220.0 / $0.19/M
- 9Gemini 3.5 FlashGoogle100.4975.4 / $0.75/M
- 10GPT-5.1OpenAI96.0560.0 / $0.63/M
- 11Kimi K2Moonshot (Kimi)94.6854.0 / $0.57/M
- 12GPT-5.2OpenAI89.9778.7 / $0.88/M
- 13Kimi K2.6Moonshot (Kimi)79.3475.4 / $0.95/M
- 14GPT-5.4OpenAI73.6692.1 / $1.25/M
- 15Gemini 3.1 ProGoogle72.7372.7 / $1.00/M
- 16Gemini 2.5 FlashGoogle62.479.4 / $0.15/M
- 17GPT-5OpenAI50.1662.7 / $1.25/M
- 18GLM 5.1Zhipu AI (GLM)46.2164.7 / $1.40/M
- 19Gemini 2.5 ProGoogle43.7627.4 / $0.63/M
- 20o4-miniOpenAI43.6548.0 / $1.10/M
- 21GPT-5.5OpenAI40.00100.0 / $2.50/M
- 22Qwen3 235B (Thinking)Alibaba (Qwen)36.4416.4 / $0.45/M
- 23Gemini 2.0 FlashGoogle33.303.3 / $0.10/M
- 24GLM 5Zhipu AI (GLM)31.7931.8 / $1.00/M
- 25o3-miniOpenAI21.8324.0 / $1.10/M
AI Model Analyzer does not recommend specific vendors; rankings are derived from public data only.