Alibaba / Qwen, released Jun 2, 2026

Qwen3.7 Plusprice, context, benchmarks and release details

Provisional: not enough results to rank yet 64% confidence, 2 of 7 expected sources in

62.7

SI Score

#48 of 142 ranked models

Input, per 1M tokens: $0.28
Output, per 1M tokens: $1.10
Context window: 1M
Max output: 64K
Released: Jun 2, 2026

How the score breaks down

Coding —

Math 51.8

Preference 78.1

Reasoning 84.8

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

46 DeepSeek V4 Pro 0813 63.0
47 Muse Spark 1.1 62.9
48 Qwen3.7 Plus 62.7
49 Qwen3.5 35B-A3B 62.7
50 Claude Opus 4.5 62.6

Full leaderboard

Benchmark results

4 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 87.9% 87.9 2 settings

About GPQA Diamond

FrontierMath Tiers 1–3 (v2)math 34.4% 34.4

OTIS Mock AIME 2024–2025math 93.3% 93.3 2 settings

About OTIS Mock AIME 2024–2025

LMArena Textpreference 1454.8 elo 78.1

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: No
License: not yet reported
Input modalities: text, image, video
First seen by SuperIndex: Oct 8, 2026
Coverage: 51% of expected source weight

Reported (2)

Epoch AI BenchmarkingOct 8, 2026
LMArena / ArenaOct 8, 2026

Awaiting (5)

ARC Prize13% of weight
Humanity’s Last Exam13% of weight
Official model cards via models.dev4% 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.