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Qwen3.6 Flash vs Summarize

Updated October 21, 2026. No benchmark has tested both models yet. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Qwen3.6 FlashQwen
Coding
No data
Overall
No data
Output $/M
$1.125
S SummarizeScaledown
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.

No benchmark has tested both yet. Qwen3.6 Flash has results on ALE-Bench, Epoch Capabilities Index and GPQA Diamond (Epoch AI run); Summarize has none yet. Compare them on price and context instead.

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
Qwen3.6 Flash not benchmarked, Summarize not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Qwen3.6 Flash $1.125 against Summarize Free per million output tokens.
Context window
Both take 1M tokens.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board measured
Coding benchmarks for Qwen3.6 Flash and Summarize
BenchmarkQwen3.6 FlashSummarizeLeader
ALE-Bench326.4Not measuredOnly Qwen3.6 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 measured
Intelligence benchmarks for Qwen3.6 Flash and Summarize
BenchmarkQwen3.6 FlashSummarizeLeader
Epoch Capabilities Index142.9Not measuredOnly Qwen3.6 Flash measured
Neither model has a result on the other 1 board here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Reasoning benchmarks for Qwen3.6 Flash and Summarize
BenchmarkQwen3.6 FlashSummarizeLeader
GPQA Diamond (Epoch AI run)83.3%Not measuredOnly Qwen3.6 Flash measured
SimpleBench35.2%Not measuredOnly Qwen3.6 Flash measured
Chess puzzles12.0%Not measuredOnly Qwen3.6 Flash measured
Mystery game puzzles18.0%Not measuredOnly Qwen3.6 Flash measured
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for Qwen3.6 Flash and Summarize
BenchmarkQwen3.6 FlashSummarizeLeader
OTIS Mock AIME84.4%Not measuredOnly Qwen3.6 Flash measured
FrontierMath, tiers 1 to 322.5%Not measuredOnly Qwen3.6 Flash measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Knowledge benchmarks for Qwen3.6 Flash and Summarize
BenchmarkQwen3.6 FlashSummarizeLeader
SimpleQA Verified15.9%Not measuredOnly Qwen3.6 Flash measured
Neither model has a result on the other 16 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for Qwen3.6 Flash and Summarize
BenchmarkQwen3.6 FlashSummarizeLeader
DTBench77.1%Not measuredOnly Qwen3.6 Flash measured
LMCA31.0%Not measuredOnly Qwen3.6 Flash measured
Neither model has a result on the other 44 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

Qwen3.6 Flash$0.0008Fits in one request
Summarize$0.0000Fits in one request

Summarize costs less

Repository review

50K input + 3K output tokens

Qwen3.6 Flash$0.013Fits in one request
Summarize$0.0020Fits in one request

Summarize costs less

Agent loop

200K input + 10K output tokens

Qwen3.6 Flash$0.049Fits in one request
Summarize$0.0080Fits in one request

Summarize 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 Qwen3.6 Flash and Summarize
SpecificationQwen3.6 FlashScaleDown Summarize
MakerQwenScaledown
WeightsNo public weights listedNo public weights listed
ReleasedApril 27, 2026October 13, 2026
Context window1M1M
Input $/Mtok$0.1875$0.04
Output $/Mtok$1.125Free
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.6 Flash better than Summarize 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, Qwen3.6 Flash or Summarize?

Qwen3.6 Flash costs $0.1875 per million input tokens and $1.125 per million output tokens; Summarize costs $0.04 and Free. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3.6 Flash or Summarize?

Neither: both take 1M tokens.

Has any benchmark tested both Qwen3.6 Flash and Summarize?

No benchmark has tested both yet. Qwen3.6 Flash has results on ALE-Bench, Epoch Capabilities Index and GPQA Diamond (Epoch AI run); Summarize has none yet. Compare them on price and context instead. Data as of October 21, 2026.

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