Qwen3.7 Plus
Qwen · released Jun 3, 2026
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...
Specification
- Context window
- 1M
- Max output
- 131K
- Knowledge cutoff
- Not stated
- Parameters
- Undisclosed
- Licence
- Proprietary
- Serving providers
- 1
- Moderated
- No
- Uptime
- 100.0%
Intelligence
39.4
87th percentile
Coding
55.9
Coding Index
Agentic
20.7
Agentic Index
Output speed
12 t/s
Median across providers
Latency
872ms
Time to first token
Cost per task
$0.12
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- τ²-bench (Telecom)93.0%
- GPQA Diamond90.0%
- IFBench78.0%
- AA-LCR (long context)69.0%
- Terminal-Bench Hard47.0%
- SciCode45.5%
- Humanity's Last Exam35.6%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| τ²-bench (Telecom) | 93.0% |
| GPQA Diamond | 90.0% |
| IFBench | 78.0% |
| AA-LCR (long context) | 69.0% |
| Terminal-Bench Hard | 47.0% |
| SciCode | 45.5% |
| Humanity's Last Exam | 35.6% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- GLM 5Z.ai40.6
- Qwen3.6 PlusQwen40.5
- GPT-5.4 NanoOpenAI39.7
- Qwen3.7 PlusQwen39.4
- GLM 5 TurboZ.ai39.1
- M2.7MiniMax38.9
- Claude Opus 4.6Anthropic38.8
- MiMo-V2.5Xiaomi38.0
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| GLM 5 | 40.6 |
| Qwen3.6 Plus | 40.5 |
| GPT-5.4 Nano | 39.7 |
| Qwen3.7 Plus | 39.4 |
| GLM 5 Turbo | 39.1 |
| M2.7 | 38.9 |
| Claude Opus 4.6 | 38.8 |
| MiMo-V2.5 | 38.0 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $0.32
- Output / 1M tokens
- $1.28
- Cached input / 1M
- $0.064
- Blended 3:1
- $0.56
One task, estimated
$0.12
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.
Arena
Head-to-head generation quality
Elo from pairwise judgements, broken out by the kind of thing the model was asked to build.
- Overall Elo
- 1,303
- Win rate
- 53.0%
- Strongest at
- Game development
- Tournaments
- 349
Elo by category
Dot position on a 1,275–1,325 scale · Elo has no meaningful zero
- 1,303
- 1,293
- 1,293
- 1,292
- 1,279
Agent categories (full-stack apps, mobile apps) are only scored for models tested in agent harnesses.
View as table
| Category | Elo | Win rate |
|---|---|---|
| Game development | 1303 | 53.0% |
| Data visualisation | 1293 | 54.2% |
| 3D scenes | 1293 | 48.4% |
| Websites | 1292 | 52.1% |
| UI components | 1279 | 48.6% |