Alibaba / Qwen, released Sep 23, 2025

Qwen3 Maxprice, context, benchmarks and release details

Provisional: not enough results to rank yet 69% confidence 69 percent, Medium confidence, 3 of 7 expected sources in
50.2
SI Score
#108 of 142 ranked models
Input, per 1M tokens
$0.36Alibaba Model Studio pricingOfficial Alibaba Model Studio Global USD on-demand API; 0<Token≤32K; Non-Thinking mode only. Output uses non-thinking rate when both modes are available; thinking-only products use their thinking rate. Cache, Batch, free quotas and regional rates excluded Retrieved Oct 9, 2026 · factual citation
Open source ↗
Output, per 1M tokens
$1.43Alibaba Model Studio pricingOfficial Alibaba Model Studio Global USD on-demand API; 0<Token≤32K; Non-Thinking mode only. Output uses non-thinking rate when both modes are available; thinking-only products use their thinking rate. Cache, Batch, free quotas and regional rates excluded Retrieved Oct 9, 2026 · factual citation
Open source ↗
Context window
262Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Max output
65.5Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Released
Sep 23, 2025models.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗

How the score breaks down

Coding (weight 40 percent) 20.5
Math (weight 15 percent) 61.1
Preference (weight 15 percent) 74.3
Reasoning (weight 30 percent) 72.6

Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 06:15 UTC.

Around it on the leaderboard

  1. 106 Qwen3 32B 50.4
  2. 107 Qwen3 235B-A22B 50.3
  3. 108 Qwen3 Max 50.2
  4. 109 GPT-4o (2024-05-13) 49.4
  5. 110 Claude Sonnet 3.7 48.9

Full leaderboard

Benchmark results

6 benchmarks, 6 results

Each row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.

GPQA Diamondreasoning 72.6%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Oct 6, 2025 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
72.6
FrontierMath Tiers 1–3 (v2)math 18.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Aug 30, 2026 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
18.9
MATH Level 5math 97.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Oct 9, 2025 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
97.1
OTIS Mock AIME 2024–2025math 73.3%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Oct 6, 2025 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
73.3
Terminal-Benchcoding 20.5%Official model cards via models.devLab-reported; metric success rate; transcribed by MIT models.dev catalog; not independently evaluated [variant] Published May 30, 2026 Retrieved Oct 9, 2026 · factual citation; MIT transcription
Open source ↗
20.5
LMArena Textpreference 1412.8 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 8, 2026 Retrieved Oct 9, 2026 · CC-BY-4.0
Open source ↗
74.3

Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.

Details and sources

Open weights
Nomodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
License
not yet reported
Input modalities
textmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
First seen by SuperIndex
Oct 8, 2026
Coverage
55% of expected source weight

Reported (3)

  • Epoch AI BenchmarkingOct 8, 2026
  • Official model cards via models.devOct 8, 2026
  • LMArena / ArenaOct 8, 2026

Awaiting (4)

  • ARC Prize13% of weight
  • Humanity’s Last Exam13% of weight
  • LiveBench13% of weight
  • Terminal-Bench6% of weight

Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.

What changed

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