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Model comparison

DeepSeek V3 vs Qwen3 235B 2507 (Reasoning)

Updated July 30, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

DeepSeek V3

DeepSeek

44.1/100

Supported · Public rank #154

90% interval 25.5–62.8

Qwen3 235B 2507 (Reasoning)

Alibaba

57.2/100

Estimated · Public rank #73

90% interval 45.7–68.7

Qwen3 235B 2507 (Reasoning) has the higher public score estimate, 57.2 versus 44.15, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

1 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

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.

No workload recommendation clears the current evidence threshold.

Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.

Show secondary and unsupported calls
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    No clear pick

    The documented context windows are equal.

    Confidence: documented

  • 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. DeepSeek V3 does not fit this workload in one request. Qwen3 235B 2507 (Reasoning) does not fit this workload in one request. Qwen3 235B 2507 (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

What is actually comparable

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

Shared results
1
DeepSeek V3 only
5
Qwen3 235B 2507 (Reasoning) only
1
Like-for-like categories
0 / 8

1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Math

Directional only
DeepSeek V3
1.7
Qwen3 235B 2507 (Reasoning)
6.4
Weighted basis
1 vs 2 rows
Reading
Directional only

Agentic

Not comparable
DeepSeek V3
Not measured
Qwen3 235B 2507 (Reasoning)
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Coding

Not comparable
DeepSeek V3
38.9
Qwen3 235B 2507 (Reasoning)
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
DeepSeek V3
Not measured
Qwen3 235B 2507 (Reasoning)
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
DeepSeek V3
72.7
Qwen3 235B 2507 (Reasoning)
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
DeepSeek V3
Not measured
Qwen3 235B 2507 (Reasoning)
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
DeepSeek V3
Not measured
Qwen3 235B 2507 (Reasoning)
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
DeepSeek V3
86.1
Qwen3 235B 2507 (Reasoning)
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

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.

  • FrontierMath v2 (Tiers 1-3)

    Math

    DeepSeek V3: 1.724%Qwen3 235B 2507 (Reasoning): 8.481%Normalized gap 6.8Shared source

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 V3
$0.00082
Fits in one request
Qwen3 235B 2507 (Reasoning)
Self-hosted; infrastructure cost varies
Fits in one request

Qwen3 235B 2507 (Reasoning) has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

DeepSeek V3
$0.0168
Fits in one request
Qwen3 235B 2507 (Reasoning)
Self-hosted; infrastructure cost varies
Fits in one request

Qwen3 235B 2507 (Reasoning) has no comparable published API token rate.

Cache-heavy agent loop

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

DeepSeek V3
$0.0304
Does not fit in one request
Qwen3 235B 2507 (Reasoning)
Self-hosted; infrastructure cost varies
Does not fit in one request
Cached-input rate unavailable

DeepSeek V3 does not fit this workload in one request. Qwen3 235B 2507 (Reasoning) does not fit this workload in one request. Qwen3 235B 2507 (Reasoning) has no comparable published API token rate.

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 V3

128K

Qwen3 235B 2507 (Reasoning)

128K

API model ID

DeepSeek V3

Not sourced

Qwen3 235B 2507 (Reasoning)

Not sourced

Cached-input rate

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

DeepSeek V3

$0.07 per 1M cached input tokens

Qwen3 235B 2507 (Reasoning)

No comparable hosted API rate

Documented inputs

DeepSeek V3

Not sourced

Qwen3 235B 2507 (Reasoning)

Not sourced

Documented outputs

DeepSeek V3

Not sourced

Qwen3 235B 2507 (Reasoning)

Not sourced

Provider availability

DeepSeek V3

Not sourced

Qwen3 235B 2507 (Reasoning)

Not sourced

Reasoning profile

DeepSeek V3

Non-Reasoning

Qwen3 235B 2507 (Reasoning)

Reasoning

Weight access

DeepSeek V3

Open Weight

Qwen3 235B 2507 (Reasoning)

Open Weight

License

DeepSeek V3

Open Weight

Qwen3 235B 2507 (Reasoning)

Open Weight

Release date

DeepSeek V3

2024-12-26

Qwen3 235B 2507 (Reasoning)

2025-07-01

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
Qwen3 235B 2507 (Reasoning) has the higher public score estimate, 57.2 versus 44.15, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Both models list 128K.

Run the same representative tasks against both endpoints before changing production traffic.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

DeepSeek V3
API / mo$1,028
Self-host / mo$18,221
Break-even1.2B/day
Qwen3 235B 2507 (Reasoning)
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Model the full break-even

Benchmark evidence

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

Browse raw public benchmark evidence7 rows

Coding

  • LiveCodeBench

    DeepSeek V337.6%
    Source
    Qwen3 235B 2507 (Reasoning)

    Not directly comparable

  • SWE-bench Verified

    DeepSeek V342%
    Source
    Qwen3 235B 2507 (Reasoning)

    Not directly comparable

Knowledge

  • GPQA

    DeepSeek V359.1%
    Source
    Qwen3 235B 2507 (Reasoning)

    Not directly comparable

  • MMLU-Pro

    DeepSeek V375.9%
    Source
    Qwen3 235B 2507 (Reasoning)

    Not directly comparable

Math

  • FrontierMath v2 (Tiers 1-3)

    Shared source
    DeepSeek V31.724%
    Qwen3 235B 2507 (Reasoning)8.481%

    Qwen3 235B 2507 (Reasoning) leads this result

  • FrontierMath v2 (Tier 4)

    DeepSeek V3
    Qwen3 235B 2507 (Reasoning)0.000%
    Source

    Not directly comparable

Instruction following

  • IFEval

    DeepSeek V386.1%
    Source
    Qwen3 235B 2507 (Reasoning)

    Not directly comparable

Frequently asked questions

Which is better, DeepSeek V3 or Qwen3 235B 2507 (Reasoning)?

Qwen3 235B 2507 (Reasoning) has the higher public score estimate, 57.2 versus 44.15, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, DeepSeek V3 or Qwen3 235B 2507 (Reasoning)?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, DeepSeek V3 or Qwen3 235B 2507 (Reasoning)?

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

Which costs less, DeepSeek V3 or Qwen3 235B 2507 (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 V3 or Qwen3 235B 2507 (Reasoning)?

Both models list the same context window, 128K.

Related comparisons

Last updated July 30, 2026

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