Model comparison

Gemini 3.1 Pro vs Qwen 3.6 Max (preview)

Updated July 29, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Gemini 3.1 Pro

Google

54.7/100

Estimated · Public rank #87

90% interval 38.8–70.6

Qwen 3.6 Max (preview)

Alibaba

59.3/100

Supported · Public rank #56

90% interval 40.4–78.2

Qwen 3.6 Max (preview) has the higher public score estimate, 59.29 versus 54.66, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

2 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.

Long documents
Prompts that approach the documented context limit
Gemini 3.1 Pro
Gemini 3.1 Pro 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
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
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

What is actually comparable

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

21 Gemini 3.1 Pro only

2 Shared

7 Qwen 3.6 Max (preview) only

Shared results: 2
Gemini 3.1 Pro only: 21
Qwen 3.6 Max (preview) only: 7
Like-for-like categories: 1 / 8

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

Like-for-like

Gemini 3.1 Pro: 31.8
Qwen 3.6 Max (preview): 18.4
Weighted basis: 2 vs 2 rows
Reading: Gemini 3.1 Pro leads

Agentic

Not comparable

Gemini 3.1 Pro: Not measured
Qwen 3.6 Max (preview): 65.4
Weighted basis: 0 vs 1 rows
Reading: Not comparable

Coding

Not comparable

Gemini 3.1 Pro: Not measured
Qwen 3.6 Max (preview): 51.0
Weighted basis: 0 vs 2 rows
Reading: Not comparable

Reasoning

Not comparable

Gemini 3.1 Pro: 77.1
Qwen 3.6 Max (preview): Not measured
Weighted basis: 1 vs 0 rows
Reading: Not comparable

Knowledge

Not comparable

Gemini 3.1 Pro: Not measured
Qwen 3.6 Max (preview): 73.9
Weighted basis: 0 vs 1 rows
Reading: Not comparable

Multilingual

Not comparable

Gemini 3.1 Pro: Not measured
Qwen 3.6 Max (preview): Not measured
Weighted basis: 0 vs 0 rows
Reading: Not comparable

Multimodal

Not comparable

Gemini 3.1 Pro: 82.6
Qwen 3.6 Max (preview): Not measured
Weighted basis: 2 vs 0 rows
Reading: Not comparable

Instruction following

Not comparable

Gemini 3.1 Pro: Not measured
Qwen 3.6 Max (preview): Not measured
Weighted basis: 0 vs 0 rows
Reading: Not comparable

Category averages with the server-provided evidence basis for Gemini 3.1 Pro and Qwen 3.6 Max (preview)
Category	Gemini 3.1 Pro	Qwen 3.6 Max (preview)	Weighted basis	Reading
Math	31.8	18.4	Like-for-like2 vs 2 rows	Gemini 3.1 Pro leads
Agentic	Not measured	65.4	Not comparable0 vs 1 rows	Not comparable
Coding	Not measured	51.0	Not comparable0 vs 2 rows	Not comparable
Reasoning	77.1	Not measured	Not comparable1 vs 0 rows	Not comparable
Knowledge	Not measured	73.9	Not comparable0 vs 1 rows	Not comparable
Multilingual	Not measured	Not measured	Not comparable0 vs 0 rows	Not comparable
Multimodal	82.6	Not measured	Not comparable2 vs 0 rows	Not comparable
Instruction following	Not measured	Not measured	Not comparable0 vs 0 rows	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
Gemini 3.1 Pro: 36.900%Qwen 3.6 Max (preview): 23.103%Normalized gap 13.8Shared source
FrontierMath v2 (Tier 4)
Math
Gemini 3.1 Pro: 16.700%Qwen 3.6 Max (preview): 4.167%Normalized gap 12.5Shared 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

Gemini 3.1 Pro: $0.008; Fits in one request
Qwen 3.6 Max (preview): API rate not published; Fits in one request

Qwen 3.6 Max (preview) has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Gemini 3.1 Pro: $0.136; Fits in one request
Qwen 3.6 Max (preview): API rate not published; Fits in one request

Qwen 3.6 Max (preview) has no comparable published API token rate.

Cache-heavy agent loop

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

Gemini 3.1 Pro: $0.2; Fits in one request
Qwen 3.6 Max (preview): API rate not published; Fits in one request; Cached-input rate unavailable

Qwen 3.6 Max (preview) 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.

SpecificationGemini 3.1 ProQwen 3.6 Max (preview)

Context window

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

Gemini 3.1 Pro

Google Gemini 3.1 Pro Preview model documentation

Qwen 3.6 Max (preview)

256K

API model ID

Gemini 3.1 Pro

gemini-3.1-pro-preview

Google Gemini 3.1 Pro Preview model documentation

Qwen 3.6 Max (preview)

Not sourced

Cached-input rate

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

Gemini 3.1 Pro

$0.2 per 1M cached input tokens

Google Gemini API pricing

Qwen 3.6 Max (preview)

No comparable hosted API rate

Documented inputs

Gemini 3.1 Pro

text, image, video, audio, pdf

Google Gemini 3.1 Pro Preview model documentation

Qwen 3.6 Max (preview)

Not sourced

Documented outputs

Gemini 3.1 Pro

text

Google Gemini 3.1 Pro Preview model documentation

Qwen 3.6 Max (preview)

Not sourced

Provider availability

Gemini 3.1 Pro

Preview · Gemini API, Google AI Studio

Google Gemini model catalog

Qwen 3.6 Max (preview)

Not sourced

Reasoning profile

Gemini 3.1 Pro

Reasoning

Qwen 3.6 Max (preview)

Reasoning

Weight access

Gemini 3.1 Pro

Proprietary

Qwen 3.6 Max (preview)

Proprietary

License

Gemini 3.1 Pro

Proprietary

Qwen 3.6 Max (preview)

Proprietary

Release date

Gemini 3.1 Pro

2026-02-19

Qwen 3.6 Max (preview)

2026-04-20

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: Qwen 3.6 Max (preview) has the higher public score estimate, 59.29 versus 54.66, but the 90% score intervals overlap.
Workload cost: A complete comparable API-rate estimate is not available for both models.
Context tradeoff: Gemini 3.1 Pro has the larger documented window (1M).

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

Benchmark evidence

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

Browse raw public benchmark evidence30 rows

Agentic

Claw-Eval
Gemini 3.1 Pro57.8%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
DeepSearchQA
Gemini 3.1 Pro69.7%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
τ²-bench results
Gemini 3.1 Pro95.6%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
Gert Labs
Gemini 3.1 Pro56.87%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
ResearchClawBench
Gemini 3.1 Pro13.3%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
Terminal-Bench 2.0
Gemini 3.1 Pro—
Qwen 3.6 Max (preview)65.4%
Source
Not directly comparable
QwenClawBench
Gemini 3.1 Pro—
Qwen 3.6 Max (preview)59.0%
Source
Not directly comparable

Coding

LiveCodeBench Pro
Gemini 3.1 Pro82.9%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
React Native Evals
Gemini 3.1 Pro78.9%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
Vibe Code Bench
Gemini 3.1 Pro32.03%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
SWE-bench Pro
Gemini 3.1 Pro—
Qwen 3.6 Max (preview)57.3%
Source
Not directly comparable
SciCode
Gemini 3.1 Pro—
Qwen 3.6 Max (preview)47%
Source
Not directly comparable
NL2Repo
Gemini 3.1 Pro—
Qwen 3.6 Max (preview)42.9%
Source
Not directly comparable
Terminal-Bench 2.0
Gemini 3.1 Pro—
Qwen 3.6 Max (preview)65.4%
Source
Not directly comparable

Reasoning

ARC-AGI-2
Gemini 3.1 Pro77.1%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
ARC-AGI-3
Gemini 3.1 Pro0.4%
Source
Qwen 3.6 Max (preview)—
Not directly comparable

Knowledge

GPQA-D
Gemini 3.1 Pro94.3%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
HLE w/o tools
Gemini 3.1 Pro45.4%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
HealthBench Hard
Gemini 3.1 Pro20.6%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
MedXpertQA (Text)
Gemini 3.1 Pro71.5%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
SuperGPQA
Gemini 3.1 Pro—
Qwen 3.6 Max (preview)73.9%
Source
Not directly comparable

Math

FrontierMath v2 (Tiers 1-3)
Shared source
Gemini 3.1 Pro36.900%
Qwen 3.6 Max (preview)23.103%
Gemini 3.1 Pro leads this result
FrontierMath v2 (Tier 4)
Shared source
Gemini 3.1 Pro16.700%
Qwen 3.6 Max (preview)4.167%
Gemini 3.1 Pro leads this result

Multimodal

MMMU-Pro
Gemini 3.1 Pro83.9%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
CharXiv
Gemini 3.1 Pro80.2%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
ERQA
Gemini 3.1 Pro69.4%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
SimpleVQA
Gemini 3.1 Pro72.4%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
ScreenSpot Pro
Gemini 3.1 Pro84.4%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
ZeroBench
Gemini 3.1 Pro29.0%
Source
Qwen 3.6 Max (preview)—
Not directly comparable
MedXpertQA (MM)
Gemini 3.1 Pro81.3%
Source
Qwen 3.6 Max (preview)—
Not directly comparable

Frequently asked questions

Which is better, Gemini 3.1 Pro or Qwen 3.6 Max (preview)?

Qwen 3.6 Max (preview) has the higher public score estimate, 59.29 versus 54.66, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Gemini 3.1 Pro or Qwen 3.6 Max (preview)?

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, Gemini 3.1 Pro or Qwen 3.6 Max (preview)?

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, Gemini 3.1 Pro or Qwen 3.6 Max (preview)?

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, Gemini 3.1 Pro or Qwen 3.6 Max (preview)?

Gemini 3.1 Pro has the larger documented context window: 1M, compared with 256K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated July 29, 2026

Watch Gemini 3.1 Pro vs Qwen 3.6 Max (preview)

One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.

Read a sample issue

Join 2,000+ readers.

Gemini 3.1 Pro vs Qwen 3.6 Max (preview)

Which one for your work

Long documents

Coding work

Agentic work

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

What is actually comparable

Category results, on a stated basis

Math

Agentic

Coding

Reasoning

Knowledge

Multilingual

Multimodal

Instruction following

Shape of the matched evidence

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

Benchmark evidence

Agentic

Coding

Reasoning

Knowledge

Math

Multimodal

Frequently asked questions

Which is better, Gemini 3.1 Pro or Qwen 3.6 Max (preview)?

Which is better for coding, Gemini 3.1 Pro or Qwen 3.6 Max (preview)?

Which is better for agentic tasks, Gemini 3.1 Pro or Qwen 3.6 Max (preview)?

Which costs less, Gemini 3.1 Pro or Qwen 3.6 Max (preview)?

Which has the larger context window, Gemini 3.1 Pro or Qwen 3.6 Max (preview)?

Related comparisons

Watch Gemini 3.1 Pro vs Qwen 3.6 Max (preview)