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Qwen3.7 Flash vs Extract

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Qwen3.7 FlashQwen
Coding
No data
Overall
No data
Output $/M
$0.13
S ExtractScaledown
Coding
No data
Overall
No data
Output $/M
No data
vs 1M vs 1M context window. About the same size.

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
0
Qwen3.7 Flash only
6
Extract only
0
Like-for-like categories
0 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Qwen3.7 Flash not benchmarked, Extract not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
Qwen3.7 Flash $0.13 against Extract Free per million output tokens.
Context window
Both take 1M tokens.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board, none shared
Coding benchmarks for Qwen3.7 Flash and Extract
BenchmarkQwen3.7 FlashExtractLeader
ALE-Bench420.1Not measuredOnly Qwen3.7 Flash measured
Neither model has a result on the other 37 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Qwen3.7 Flash and Extract
BenchmarkQwen3.7 FlashExtractLeader
Epoch Capabilities Index144.1Not measuredOnly Qwen3.7 Flash measured
Neither model has a result on the other 1 board here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for Qwen3.7 Flash and Extract
BenchmarkQwen3.7 FlashExtractLeader
Neither model has a result on 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Reasoning benchmarks for Qwen3.7 Flash and Extract
BenchmarkQwen3.7 FlashExtractLeader
GPQA Diamond (Epoch AI run)82.3%Not measuredOnly Qwen3.7 Flash measured
Mystery game puzzles15.0%Not measuredOnly Qwen3.7 Flash measured
Neither model has a result on the other 19 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Qwen3.7 Flash and Extract
BenchmarkQwen3.7 FlashExtractLeader
OTIS Mock AIME86.7%Not measuredOnly Qwen3.7 Flash measured
FrontierMath, tiers 1 to 319.3%Not measuredOnly Qwen3.7 Flash measured
Neither model has a result on the other 11 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for Qwen3.7 Flash and Extract
BenchmarkQwen3.7 FlashExtractLeader
Neither model has a result on 17 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Qwen3.7 Flash and Extract
BenchmarkQwen3.7 FlashExtractLeader
Neither model has a result on 9 boards here
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
General benchmarks for Qwen3.7 Flash and Extract
BenchmarkQwen3.7 FlashExtractLeader
Neither model has a result on 46 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.7 Flash and Extract
BenchmarkQwen3.7 FlashExtractLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Qwen3.7 Flash$0.0001Fits in one request
Extract$0.0000Fits in one request

Extract costs less

Repository review

50K input + 3K output tokens

Qwen3.7 Flash$0.0019Fits in one request
Extract$0.0020Fits in one request

Qwen3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Qwen3.7 Flash$0.0073Fits in one request
Extract$0.0080Fits in one request

Qwen3.7 Flash costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Qwen3.7 Flash and Extract
SpecificationQwen3.7 FlashScaleDown Extract
MakerQwenScaledown
WeightsNo public weights listedNo public weights listed
ReleasedJuly 27, 2026October 13, 2026
Context window1M1M
Input $/Mtok$0.03$0.04
Output $/Mtok$0.13Free
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.7 Flash better than Extract for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Qwen3.7 Flash or Extract?

Qwen3.7 Flash costs $0.03 per million input tokens and $0.13 per million output tokens; Extract costs $0.04 and Free. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3.7 Flash or Extract?

Neither: both take 1M tokens.

How many benchmarks is the Qwen3.7 Flash vs Extract comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Qwen3.7 Flash's coding index rests on 0 independent benchmarks and Extract's on 0. Where only one model has a result, the page says so instead of naming a winner.

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