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DeepSeek V4.1 Flash vs Qwen3 235B-A22B (Reasoning)

Updated October 14, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.

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Decision reading

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. 1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
DeepSeek logo

DeepSeek

64.59/100

Supported · Public rank #35

90% interval 58.8–70.4

Model B
Alibaba logo

Alibaba

—

Evidence status unavailable

90% interval unavailable

Shared results
1
DeepSeek V4.1 Flash only
28
Qwen3 235B-A22B (Reasoning) only
10
Like-for-like categories
0 / 8
Supported: DeepSeek V4.1 FlashHow the comparison works

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Long documents

    Prompts that approach the documented context limit

    DeepSeek V4.1 Flash

    DeepSeek V4.1 Flash has the larger documented context window.

    Confidence: documented
Show secondary and unsupported calls
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Qwen3 235B-A22B (Reasoning) is not ranked on the public lane for coding, so no winner is named for coding.

    Confidence: limited
  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    Qwen3 235B-A22B (Reasoning) is not ranked on the public lane for agentic, so no winner is named for agentic.

    Confidence: limited
  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates
  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Qwen3 235B-A22B (Reasoning) does not fit this workload in one request. Qwen3 235B-A22B (Reasoning) has no comparable published API token rate.

    Confidence: listed-rates
  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

61.0DeepSeek V4.1 Flash—Qwen3 235B-A22B (Reasoning)

Not comparable · BenchAlign v5.8

The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Same basis rules as the category table below

What is actually comparable

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

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Not comparable
DeepSeek V4.1 Flash
60.4
Supported · #22/124
Qwen3 235B-A22B (Reasoning)
Not ranked
Basis
BenchAlign v5.8 lane · 10 vs 1 public rows
Reading
Not comparable

Coding

Not comparable
DeepSeek V4.1 Flash
61.0
Supported · #17/149
Qwen3 235B-A22B (Reasoning)
Not ranked
Basis
BenchAlign v5.8 lane · 8 vs 1 public rows
Reading
Not comparable

Reasoning

Not comparable
DeepSeek V4.1 Flash
83.4
Unranked · 4 rankable rows
Qwen3 235B-A22B (Reasoning)
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
DeepSeek V4.1 Flash
77.9
Unranked · 1 rankable row
Qwen3 235B-A22B (Reasoning)
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
DeepSeek V4.1 Flash
65.1
Supported · #34/181
Qwen3 235B-A22B (Reasoning)
Not ranked
Basis
BenchAlign v5.8 lane · 3 vs 4 public rows
Reading
Not comparable

Multilingual

Not comparable
DeepSeek V4.1 Flash
Not ranked
Qwen3 235B-A22B (Reasoning)
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
DeepSeek V4.1 Flash
Not ranked
Qwen3 235B-A22B (Reasoning)
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
DeepSeek V4.1 Flash
70.1
Unranked · 3 rankable rows
Qwen3 235B-A22B (Reasoning)
Not ranked
Basis
Provisional lane · 2 vs 0 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

DeepSeek V4.1 Flash
$0.0009
Fits in one request
Qwen3 235B-A22B (Reasoning)
API rate not published
Fits in one request

Qwen3 235B-A22B (Reasoning) has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

DeepSeek V4.1 Flash
$0.0186
Fits in one request
Qwen3 235B-A22B (Reasoning)
API rate not published
Fits in one request

Qwen3 235B-A22B (Reasoning) has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

DeepSeek V4.1 Flash
$0.0192
Fits in one request
Qwen3 235B-A22B (Reasoning)
API rate not published
Does not fit in one request
Cached-input rate unavailable

Qwen3 235B-A22B (Reasoning) does not fit this workload in one request. Qwen3 235B-A22B (Reasoning) has no comparable published API token rate.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

DeepSeek V4.1 Flash

Qwen3 235B-A22B (Reasoning)

128K

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

DeepSeek V4.1 Flash

$0.006 per 1M cached input tokens

DeepSeek: Models & Pricing

Qwen3 235B-A22B (Reasoning)

No comparable hosted API rate

Documented inputs

DeepSeek V4.1 Flash

Qwen3 235B-A22B (Reasoning)

Not sourced

Provider availability

DeepSeek V4.1 Flash

Generally Available · DeepSeek API, open weights

DeepSeek-V4.1-Flash release

Qwen3 235B-A22B (Reasoning)

Not sourced

Reasoning profile

DeepSeek V4.1 Flash

Reasoning

Qwen3 235B-A22B (Reasoning)

Reasoning

Weight access

DeepSeek V4.1 Flash

Open Weight

Qwen3 235B-A22B (Reasoning)

Open Weight

License

DeepSeek V4.1 Flash

Open Weight

Qwen3 235B-A22B (Reasoning)

Open Weight

Release date

DeepSeek V4.1 Flash

2026-09-10

Qwen3 235B-A22B (Reasoning)

2025-04-29

If you already use one of these models

Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
DeepSeek V4.1 Flash has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, DeepSeek V4.1 Flash or Qwen3 235B-A22B (Reasoning)?

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, DeepSeek V4.1 Flash or Qwen3 235B-A22B (Reasoning)?

Qwen3 235B-A22B (Reasoning) is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, DeepSeek V4.1 Flash or Qwen3 235B-A22B (Reasoning)?

Qwen3 235B-A22B (Reasoning) is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, DeepSeek V4.1 Flash or Qwen3 235B-A22B (Reasoning)?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, DeepSeek V4.1 Flash or Qwen3 235B-A22B (Reasoning)?

DeepSeek V4.1 Flash has the larger documented context window: 1M, compared with 128K.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence39 rows

Agentic

  • Terminal-Bench 2.1

    DeepSeek V4.1 Flash90.6%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • terminalBench3

    DeepSeek V4.1 Flash30%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • Terminal-Bench 4.0

    DeepSeek V4.1 Flash31.20%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • CyberGym

    DeepSeek V4.1 Flash88.1%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • ExploitGym

    DeepSeek V4.1 Flash15.3%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • HLE w/ tools

    DeepSeek V4.1 Flash63.9%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • AutomationBench

    DeepSeek V4.1 Flash54.8%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • Agents' Last Exam

    DeepSeek V4.1 Flash31.8%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    DeepSeek V4.1 Flash74.5%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • CWE-bench v1

    DeepSeek V4.1 Flash55.0%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • BFCL v3

    DeepSeek V4.1 Flash—
    Qwen3 235B-A22B (Reasoning)70.8%
    Source

    Not directly comparable

Coding

  • Codeforces

    DeepSeek V4.1 Flash3471.0
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • Terminal-Bench 2.1

    DeepSeek V4.1 Flash90.6%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • terminalBench3

    DeepSeek V4.1 Flash30%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • DeepSWE

    DeepSeek V4.1 Flash74.2%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • ProgramBench

    DeepSeek V4.1 Flash20.3%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • NL2Repo

    DeepSeek V4.1 Flash65.4%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • OpenHarmony Bench

    DeepSeek V4.1 Flash60.3%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • Bug Hunt Bench

    DeepSeek V4.1 Flash21.7 fixes
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • LiveCodeBench v5

    DeepSeek V4.1 Flash—
    Qwen3 235B-A22B (Reasoning)70.7%
    Source

    Not directly comparable

Reasoning

  • JevBench 1.4

    DeepSeek V4.1 Flash4.77
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • JevBench 1.5

    DeepSeek V4.1 Flash6.65
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

Multimodal

  • Chartography (tools)

    DeepSeek V4.1 Flash78.9%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • BabyVision w/ Python

    DeepSeek V4.1 Flash89.6%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • ZeroBench w/ Python

    DeepSeek V4.1 Flash49.0%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

Knowledge

  • GPQA

    DeepSeek V4.1 Flash90.9%
    Source
    Qwen3 235B-A22B (Reasoning)71.1%
    Source

    DeepSeek V4.1 Flash leads this result

  • GPQA-D

    DeepSeek V4.1 Flash90.9%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • HLE

    DeepSeek V4.1 Flash36.8%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • MMLU-Redux

    DeepSeek V4.1 Flash—
    Qwen3 235B-A22B (Reasoning)92.7%
    Source

    Not directly comparable

  • C-Eval

    DeepSeek V4.1 Flash—
    Qwen3 235B-A22B (Reasoning)89.6%
    Source

    Not directly comparable

  • MMMLU

    DeepSeek V4.1 Flash—
    Qwen3 235B-A22B (Reasoning)84.3%
    Source

    Not directly comparable

Multilingual

  • INCLUDE

    DeepSeek V4.1 Flash—
    Qwen3 235B-A22B (Reasoning)78.7%
    Source

    Not directly comparable

Instruction following

  • IFEval

    DeepSeek V4.1 Flash—
    Qwen3 235B-A22B (Reasoning)83.4%
    Source

    Not directly comparable

Math

  • Apex

    DeepSeek V4.1 Flash65.6%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    DeepSeek V4.1 Flash67.368%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    DeepSeek V4.1 Flash26.829%
    Source
    Qwen3 235B-A22B (Reasoning)—

    Not directly comparable

  • MATH-500

    DeepSeek V4.1 Flash—
    Qwen3 235B-A22B (Reasoning)98%
    Source

    Not directly comparable

  • AIME 2024

    DeepSeek V4.1 Flash—
    Qwen3 235B-A22B (Reasoning)85.7%
    Source

    Not directly comparable

  • AIME 2025

    DeepSeek V4.1 Flash—
    Qwen3 235B-A22B (Reasoning)81.5%
    Source

    Not directly comparable

39 public results · 1 shared

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Last updated October 14, 2026