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Gemma 4 31B vs Qwen3.7 Plus

Decision reading

Qwen3.7 Plus has the higher public score estimate, 61.6 versus 52.4, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

4 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Google logo
Model A
Gemma 4 31B

Google

52.4/100

Supported · Public rank #113

90% interval 29.175.7

Alibaba logo
Model B
Qwen3.7 Plus

Alibaba

61.6/100

Supported · Public rank #54

90% interval 50.672.6

Updated September 18, 2026. Rank says Qwen3.7 Plus is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

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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

    Qwen3.7 Plus

    Qwen3.7 Plus 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

    Qwen3.7 Plus is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    Gemma 4 31B is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.

    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

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

    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.

42.3Gemma 4 31B52.6Qwen3.7 Plus

Directional only · BenchAlign

Qwen3.7 Plus scores higher, but at least one score rests on Estimated evidence or a different benchmark set. Directional only, no winner.

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

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
4
Gemma 4 31B only
4
Qwen3.7 Plus only
48
Like-for-like categories
0 / 8

5 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign 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

Directional only
Gemma 4 31B
45.4
Estimated · #86/154
Qwen3.7 Plus
36.7
Supported · #133/154
Basis
BenchAlign lane · 1 vs 11 public rows
Reading
Directional only

Coding

Directional only
Gemma 4 31B
42.3
Supported · #108/154
Qwen3.7 Plus
52.6
Estimated · #48/154
Basis
BenchAlign lane · 2 vs 7 public rows
Reading
Directional only

Knowledge

Directional only
Gemma 4 31B
45.7
Supported · #108/184
Qwen3.7 Plus
56.2
Estimated · #49/184
Basis
BenchAlign lane · 4 vs 7 public rows
Reading
Directional only

Multimodal

Directional only
Gemma 4 31B
58.5
#30/48
Qwen3.7 Plus
72.4
#18/48
Basis
Provisional lane · 1 vs 2 weighted rows
Reading
Directional only

Instruction following

Directional only
Gemma 4 31B
91.5
#12/124
Qwen3.7 Plus
89.2
#18/124
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Directional only

Reasoning

Not comparable
Gemma 4 31B
68.9
Unranked · 2 rankable rows
Qwen3.7 Plus
74.0
Unranked · 3 rankable rows
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Math

Not comparable
Gemma 4 31B
Not ranked
Qwen3.7 Plus
78.2
Unranked · 3 rankable rows
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Gemma 4 31B
Not ranked
Qwen3.7 Plus
78.9
#3/12
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

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

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.

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

Gemma 4 31B
Self-hosted; infrastructure cost varies
Fits in one request
Qwen3.7 Plus
API rate not published
Fits in one request

Gemma 4 31B has no comparable published API token rate. Qwen3.7 Plus has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Gemma 4 31B
Self-hosted; infrastructure cost varies
Fits in one request
Qwen3.7 Plus
API rate not published
Fits in one request

Gemma 4 31B has no comparable published API token rate. Qwen3.7 Plus has no comparable published API token rate.

Cache-heavy agent loop

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

Gemma 4 31B
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
Qwen3.7 Plus
API rate not published
Fits in one request
Cached-input rate unavailable

Gemma 4 31B has no comparable published API token rate. Qwen3.7 Plus 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.

Cached-input rate

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

Gemma 4 31B

No comparable hosted API rate

Qwen3.7 Plus

No comparable hosted API rate

Provider availability

Gemma 4 31B

Generally Available · Gemini API, Google AI Studio, open weights

Google Gemma Gemini API guide

Qwen3.7 Plus

Not sourced

Reasoning profile

Gemma 4 31B

Reasoning

Qwen3.7 Plus

Reasoning

Weight access

Gemma 4 31B

Open Weight

Qwen3.7 Plus

Proprietary

License

Gemma 4 31B

Open Weight

Qwen3.7 Plus

Proprietary

Release date

Gemma 4 31B

2026-04-02

Qwen3.7 Plus

2026-06-03

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
Qwen3.7 Plus has the higher public score estimate, 61.6 versus 52.4, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Qwen3.7 Plus has the larger documented window (1M).

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.

Gemma 4 31B
API / mo$0
Self-host / mo$429
Break-even
Qwen3.7 Plus
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 evidence56 rows

Agentic

  • Gert Labs

    Gemma 4 31B35.26%
    Source
    Qwen3.7 Plus

    Not directly comparable

  • Terminal-Bench 2.0

    Gemma 4 31B
    Qwen3.7 Plus70.3%
    Source

    Not directly comparable

  • QwenClawBench

    Gemma 4 31B
    Qwen3.7 Plus61.8%
    Source

    Not directly comparable

  • Claw-Eval

    Gemma 4 31B
    Qwen3.7 Plus62.7%
    Source

    Not directly comparable

  • BFCL v4

    Gemma 4 31B
    Qwen3.7 Plus72.9%
    Source

    Not directly comparable

  • MCP Atlas

    Gemma 4 31B
    Qwen3.7 Plus73.2%
    Source

    Not directly comparable

  • VITA-Bench

    Gemma 4 31B
    Qwen3.7 Plus45.6%
    Source

    Not directly comparable

  • DeepPlanning

    Gemma 4 31B
    Qwen3.7 Plus62.3%
    Source

    Not directly comparable

  • OSWorld-Verified

    Gemma 4 31B
    Qwen3.7 Plus73.3%
    Source

    Not directly comparable

  • AndroidWorld

    Gemma 4 31B
    Qwen3.7 Plus81.0%
    Source

    Not directly comparable

  • OSWorld 2.0

    Gemma 4 31B
    Qwen3.7 Plus2.8%
    Source

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Gemma 4 31B
    Qwen3.7 Plus52.8%
    Source

    Not directly comparable

Coding

  • SWE-Rebench

    Gemma 4 31B41.6%
    Source
    Qwen3.7 Plus

    Not directly comparable

  • React Native Evals

    Gemma 4 31B75.2%
    Source
    Qwen3.7 Plus

    Not directly comparable

  • Terminal-Bench 2.0

    Gemma 4 31B
    Qwen3.7 Plus70.3%
    Source

    Not directly comparable

  • SWE-bench Verified

    Gemma 4 31B
    Qwen3.7 Plus77.7%
    Source

    Not directly comparable

  • SWE-bench Pro

    Gemma 4 31B
    Qwen3.7 Plus57.6%
    Source

    Not directly comparable

  • SWE Multilingual

    Gemma 4 31B
    Qwen3.7 Plus75.8%
    Source

    Not directly comparable

  • NL2Repo

    Gemma 4 31B
    Qwen3.7 Plus41.1%
    Source

    Not directly comparable

  • SciCode

    Gemma 4 31B
    Qwen3.7 Plus51.3%
    Source

    Not directly comparable

  • LiveCodeBench

    Gemma 4 31B
    Qwen3.7 Plus89.6%
    Source

    Not directly comparable

Reasoning

  • CritPt

    Gemma 4 31B
    Qwen3.7 Plus9.1%
    Source

    Not directly comparable

  • MRCRv2

    Gemma 4 31B
    Qwen3.7 Plus91.7%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Gemma 4 31B84.3%
    Source
    Qwen3.7 Plus90.3%
    Source

    Qwen3.7 Plus leads this result

  • MMLU-Pro

    Gemma 4 31B85.2%
    Source
    Qwen3.7 Plus88.5%
    Source

    Qwen3.7 Plus leads this result

  • HLE

    Gemma 4 31B26.5%
    Source
    Qwen3.7 Plus34.7%
    Source

    Qwen3.7 Plus leads this result

  • HLE w/o tools

    Gemma 4 31B19.5%
    Source
    Qwen3.7 Plus

    Not directly comparable

  • GPQA-D

    Gemma 4 31B
    Qwen3.7 Plus90.3%
    Source

    Not directly comparable

  • MMLU-Redux

    Gemma 4 31B
    Qwen3.7 Plus94.5%
    Source

    Not directly comparable

  • SuperGPQA

    Gemma 4 31B
    Qwen3.7 Plus71.4%
    Source

    Not directly comparable

  • MMMLU

    Gemma 4 31B
    Qwen3.7 Plus89.0%
    Source

    Not directly comparable

Math

  • HMMT Feb 2026

    Gemma 4 31B
    Qwen3.7 Plus92.9%
    Source

    Not directly comparable

  • IMOAnswerBench

    Gemma 4 31B
    Qwen3.7 Plus86.0%
    Source

    Not directly comparable

  • Apex

    Gemma 4 31B
    Qwen3.7 Plus22.7%
    Source

    Not directly comparable

Multilingual

  • MMLU-ProX

    Gemma 4 31B
    Qwen3.7 Plus85.4%
    Source

    Not directly comparable

  • NOVA-63

    Gemma 4 31B
    Qwen3.7 Plus58.8%
    Source

    Not directly comparable

  • INCLUDE

    Gemma 4 31B
    Qwen3.7 Plus83.0%
    Source

    Not directly comparable

  • MAXIFE

    Gemma 4 31B
    Qwen3.7 Plus88.8%
    Source

    Not directly comparable

  • PolyMath

    Gemma 4 31B
    Qwen3.7 Plus84.0%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    Gemma 4 31B76.9%
    Source
    Qwen3.7 Plus79%
    Source

    Qwen3.7 Plus leads this result

  • MathVision

    Gemma 4 31B
    Qwen3.7 Plus90.3%
    Source

    Not directly comparable

  • CharXiv

    Gemma 4 31B
    Qwen3.7 Plus85.9%
    Source

    Not directly comparable

  • ERQA

    Gemma 4 31B
    Qwen3.7 Plus69.8%
    Source

    Not directly comparable

  • MedXpertQA (MM)

    Gemma 4 31B
    Qwen3.7 Plus71.0%
    Source

    Not directly comparable

  • ScreenSpot Pro

    Gemma 4 31B
    Qwen3.7 Plus79.0%
    Source

    Not directly comparable

  • SimpleVQA

    Gemma 4 31B
    Qwen3.7 Plus81.7%
    Source

    Not directly comparable

  • MMSearch-Plus

    Gemma 4 31B
    Qwen3.7 Plus41.4%
    Source

    Not directly comparable

  • RealWorldQA

    Gemma 4 31B
    Qwen3.7 Plus86.9%
    Source

    Not directly comparable

  • OmniDocBench 1.5

    Gemma 4 31B
    Qwen3.7 Plus91.4%
    Source

    Not directly comparable

  • OCRBench V2

    Gemma 4 31B
    Qwen3.7 Plus70.7%
    Source

    Not directly comparable

  • ODINW13

    Gemma 4 31B
    Qwen3.7 Plus51.1%
    Source

    Not directly comparable

  • Video-MME (with subtitle)

    Gemma 4 31B
    Qwen3.7 Plus88.0%
    Source

    Not directly comparable

  • VideoMMMU

    Gemma 4 31B
    Qwen3.7 Plus85.4%
    Source

    Not directly comparable

  • MLVU (M-Avg)

    Gemma 4 31B
    Qwen3.7 Plus87.4%
    Source

    Not directly comparable

Instruction following

  • IFEval

    Gemma 4 31B
    Qwen3.7 Plus94.6%
    Source

    Not directly comparable

  • IFBench

    Gemma 4 31B
    Qwen3.7 Plus79.1%
    Source

    Not directly comparable

Questions

Which is better, Gemma 4 31B or Qwen3.7 Plus?

Qwen3.7 Plus has the higher public score estimate, 61.6 versus 52.4, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Gemma 4 31B or Qwen3.7 Plus?

Qwen3.7 Plus scores higher for coding on the public lane, 52.6 to 42.3. Qwen3.7 Plus is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Gemma 4 31B or Qwen3.7 Plus?

Gemma 4 31B scores higher for agentic tasks on the public lane, 45.4 to 36.7. Gemma 4 31B is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Gemma 4 31B or Qwen3.7 Plus?

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, Gemma 4 31B or Qwen3.7 Plus?

Qwen3.7 Plus has the larger documented context window: 1M, compared with 256K.

Related comparisons

Last updated September 18, 2026

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