AMA

Value ranking

Best value on MMLU Pro

Harder version of MMLU testing knowledge across 57 academic subjects; reduces guessing-friendly answers.

“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.

  1. 1
    Qwen2.5 72B Instruct
    Alibaba (Qwen)
    111.11
    100.0 / $0.90/M
  2. 2
    Llama 3.3 70B Instruct
    Meta
    84.38
    74.3 / $0.88/M
  3. 3
    Llama 3.1 70B Instruct
    Meta
    82.15
    72.3 / $0.88/M
  4. 4
    Mixtral 8x22B
    Mistral
    0.00
    0.0 / $1.20/M
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AI Model Analyzer does not recommend specific vendors; rankings are derived from public data only.