BenchLeader
AlibabaReasoning modelAuto-detected

Qwen3.7 Plus

Best configuration ranks #97 of 610 on the BenchLeader Index at 59.7 ±7.1. Last measured 8 Sept 2026. Released 2 Jun 2026.

Blended price
$1.13/M
$0.500 in · $3.00 out
Output speed
56 tok/s
First answer
38 s
first token 0.80 s
Context
1M
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index60
  2. Reasoning64
  3. Coding47
  4. Agents & tools45
  5. Maths65
  6. Knowledge65
  7. Instruction following75
  8. Human preference65
  9. Multimodal64
  10. Long context63
  11. Composite62

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Default” means the publisher did not say which setting was used.

EffortIndexRankSpeedFirst answerChat reply costCategories
no reasoning56 tok/s38 s$0.0011Maths 51 · Reasoning 60
defaultbest59.7#9756 tok/s38 s$0.0011Agents & tools 45 · Coding 47 · Composite 62 · Human preference 65 · Instruction following 75 · Knowledge 65 · Long context 63 · Maths 65 · Multimodal 64 · Reasoning 64

Benchmark results

One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmarkno reasoningdefaultSourceTrend
GPQA Diamond81.8%#10587.9%#53Epoch AI Benchmarking Hub
LMArena Hard Prompts1473#66LMArena
GPQA Diamond (AA)not in index90.0%#66Artificial Analysis
Humanity's Last Exam (AA)not in index35.6%#78Artificial Analysis

Coding

Benchmarkno reasoningdefaultSourceTrend
SciCode45.5%#84SciCode
FrontierCode10.2%#27Cognition
LMArena Coding1500#62LMArena
SciCode (AA)not in index46.1%#87Artificial Analysis

Agents & tools

Maths

Benchmarkno reasoningdefaultSourceTrend
FrontierMath Tiers 1–334.4%#53Epoch AI Benchmarking Hub
OTIS Mock AIME80.0%#9993.3%#44Epoch AI Benchmarking Hub

Knowledge

Benchmarkno reasoningdefaultSourceTrend
AA-Omniscience1.1#86Artificial Analysis

Instruction following

Benchmarkno reasoningdefaultSourceTrend
IFBench78.0%#14Artificial Analysis

Human preference

Benchmarkno reasoningdefaultSourceTrend
LMArena Text1455#59LMArena

Multimodal

Benchmarkno reasoningdefaultSourceTrend
LMArena Vision1281#26LMArena
MMMU-Pro80.5%#33Artificial Analysis

Long context

Benchmarkno reasoningdefaultSourceTrend
AA-LCR73.0%#132Artificial Analysis

Composite

Benchmarkno reasoningdefaultSourceTrend
Epoch Capabilities Indexnot in index147.4#54Epoch AI Benchmarking Hub
AA Intelligence Index25.8#111Artificial Analysis
Vals Indexnot in index38.6#37Vals AI

Where to run it

Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.

ProviderSpeedFirst tokenInput $/MOutput $/MContextQuantisation
Alibaba Cloud Int.13 tok/s0.80 s$0.320$1.281M

Price history

Listed price per 1M tokens over time, as recorded by OpenRouter for the provider with the longest history.

$0.00$0.440$0.880$1.32$1.76Jun 26Jul 26Aug 26Sept 26
input outputnow $0.320 in · $1.28 out

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.050 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0011$0.001043.1 s
Summarise a 30-page report12,000 / 600$0.0078$0.003848.4 s
Code edit6,000 / 1,500$0.0075$0.00551.1 min
Agentic coding session60,000 / 4,000$0.042$0.0221.8 min
Structured extraction2,000 / 200$0.0016$0.000941.3 s

See also

Data as of 9 Sept 2026. Compare these configurations.