Alibaba / Qwen, released Nov 1, 2024

Qwen Turboprice, context, benchmarks and release details

Provisional: not enough results to rank yet 47% confidence 47 percent, Low confidence, 1 of 4 expected sources in
46.6
SI Score
Not ranked yet
Input, per 1M tokens
$0.05Alibaba Model Studio pricingOfficial Alibaba Model Studio International USD on-demand API; standard tier; . 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
$0.20Alibaba Model Studio pricingOfficial Alibaba Model Studio International USD on-demand API; standard tier; . 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
1Mmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Max output
16.4Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Released
Nov 1, 2024models.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗

How the score breaks down

Coding (weight 40 percent) —
Math (weight 15 percent) 39.5
Preference (weight 15 percent) —
Reasoning (weight 30 percent) 41.8

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. 1 Claude Fable 5.1 80.2
  2. 2 Claude Opus 5.5 78.4
  3. 3 GPT-6 Astra 77.5
  4. 4 Claude Fable 5 76.8
  5. 5 Claude Opus 5 74.9

Full leaderboard

Benchmark results

3 benchmarks, 3 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 41.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Apr 7, 2025 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
41.8
MATH Level 5math 56.2%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Apr 7, 2025 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
56.2
OTIS Mock AIME 2024–2025math 6.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Apr 7, 2025 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
6.1

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
37% of expected source weight

Reported (1)

  • Epoch AI BenchmarkingOct 8, 2026

Awaiting (3)

  • Official model cards via models.dev7% of weight
  • LiveBench19% of weight
  • LMArena / Arena37% 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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