Model A

Google

56.0/100

Estimated · Public rank #93

90% interval 40.0–72.0

Gemini 3.1 Pro vs Qwen3.6 Plus

Updated August 15, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Model B

Qwen3.6 Plus

Alibaba

64.8/100

Supported · Public rank #36

90% interval 55.7–73.9

Decision reading

Qwen3.6 Plus has the higher public score estimate, 64.79 versus 55.98, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

10 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
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.

15 Gemini 3.1 Pro only

10 Shared

34 Qwen3.6 Plus only

Shared results: 10
Gemini 3.1 Pro only: 15
Qwen3.6 Plus only: 34
Like-for-like categories: 1 / 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.

Multimodal

Like-for-like

Gemini 3.1 Pro: 82.6
Qwen3.6 Plus: 79.8
Weighted basis: 2 vs 2 rows
Reading: Gemini 3.1 Pro leads

Math

Directional only

Gemini 3.1 Pro: 31.8
Qwen3.6 Plus: 60.5
Weighted basis: 2 vs 4 rows
Reading: Directional only

Agentic

Not comparable

Gemini 3.1 Pro: Not measured
Qwen3.6 Plus: 61.6
Weighted basis: 0 vs 1 rows
Reading: Not comparable

Coding

Not comparable

Gemini 3.1 Pro: Not measured
Qwen3.6 Plus: 70.3
Weighted basis: 0 vs 2 rows
Reading: Not comparable

Reasoning

Not comparable

Gemini 3.1 Pro: 77.1
Qwen3.6 Plus: 62.0
Weighted basis: 1 vs 1 rows
Reading: Not comparable

Knowledge

Not comparable

Gemini 3.1 Pro: Not measured
Qwen3.6 Plus: 57.1
Weighted basis: 0 vs 4 rows
Reading: Not comparable

Multilingual

Not comparable

Gemini 3.1 Pro: Not measured
Qwen3.6 Plus: 84.7
Weighted basis: 0 vs 1 rows
Reading: Not comparable

Instruction following

Not comparable

Gemini 3.1 Pro: Not measured
Qwen3.6 Plus: 82.3
Weighted basis: 0 vs 2 rows
Reading: Not comparable

Category averages with the server-provided evidence basis for Gemini 3.1 Pro and Qwen3.6 Plus
Category	Gemini 3.1 Pro	Qwen3.6 Plus	Weighted basis	Reading
Multimodal	82.6	79.8	Like-for-like2 vs 2 rows	Gemini 3.1 Pro leads
Math	31.8	60.5	Directional only2 vs 4 rows	Directional only
Agentic	Not measured	61.6	Not comparable0 vs 1 rows	Not comparable
Coding	Not measured	70.3	Not comparable0 vs 2 rows	Not comparable
Reasoning	77.1	62.0	Not comparable1 vs 1 rows	Not comparable
Knowledge	Not measured	57.1	Not comparable0 vs 4 rows	Not comparable
Multilingual	Not measured	84.7	Not comparable0 vs 1 rows	Not comparable
Instruction following	Not measured	82.3	Not comparable0 vs 2 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%Qwen3.6 Plus: 26.207%Normalized gap 10.7Shared source
FrontierMath v2 (Tier 4)
Math
Gemini 3.1 Pro: 16.700%Qwen3.6 Plus: 8.333%Normalized gap 8.4Shared source
MMMU-Pro
Multimodal
Gemini 3.1 Pro: 83.9%Qwen3.6 Plus: 78.8%Normalized gap 5.1Gemini 3.1 Pro source Qwen3.6 Plus source
CharXiv
Multimodal
Gemini 3.1 Pro: 80.2%Qwen3.6 Plus: 81.5%Normalized gap 1.3Gemini 3.1 Pro source Qwen3.6 Plus 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
Qwen3.6 Plus: API rate not published; Fits in one request

Qwen3.6 Plus 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
Qwen3.6 Plus: API rate not published; Fits in one request

Qwen3.6 Plus 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
Qwen3.6 Plus: API rate not published; Fits in one request; Cached-input rate unavailable

Qwen3.6 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.

SpecificationGemini 3.1 ProQwen3.6 Plus

Context window

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

Gemini 3.1 Pro

Google Gemini 3.1 Pro Preview model documentation

Qwen3.6 Plus

API model ID

Gemini 3.1 Pro

gemini-3.1-pro-preview

Google Gemini 3.1 Pro Preview model documentation

Qwen3.6 Plus

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

Qwen3.6 Plus

No comparable hosted API rate

Documented inputs

Gemini 3.1 Pro

text, image, video, audio, pdf

Google Gemini 3.1 Pro Preview model documentation

Qwen3.6 Plus

Not sourced

Documented outputs

Gemini 3.1 Pro

text

Google Gemini 3.1 Pro Preview model documentation

Qwen3.6 Plus

Not sourced

Provider availability

Gemini 3.1 Pro

Preview · Gemini API, Google AI Studio

Google Gemini model catalog

Qwen3.6 Plus

Not sourced

Reasoning profile

Gemini 3.1 Pro

Reasoning

Qwen3.6 Plus

Reasoning

Weight access

Gemini 3.1 Pro

Proprietary

Qwen3.6 Plus

Proprietary

License

Gemini 3.1 Pro

Proprietary

Qwen3.6 Plus

Proprietary

Release date

Gemini 3.1 Pro

2026-02-19

Qwen3.6 Plus

2026-04-02

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: Qwen3.6 Plus has the higher public score estimate, 64.79 versus 55.98, 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 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 evidence59 rows

Agentic

Claw-Eval
Shared source
Gemini 3.1 Pro57.8%
Qwen3.6 Plus58.8%
Qwen3.6 Plus leads this result
DeepSearchQA
Gemini 3.1 Pro69.7%
Source
Qwen3.6 Plus—
Not directly comparable
τ²-bench results
Gemini 3.1 Pro95.6%
Source
Qwen3.6 Plus—
Not directly comparable
Gert Labs
Shared source
Gemini 3.1 Pro56.87%
Qwen3.6 Plus50.60%
Gemini 3.1 Pro leads this result
ResearchClawBench
Shared source
Gemini 3.1 Pro13.3%
Qwen3.6 Plus18.0%
Qwen3.6 Plus leads this result
Terminal-Bench 2.0
Gemini 3.1 Pro—
Qwen3.6 Plus61.6%
Source
Not directly comparable
QwenClawBench
Gemini 3.1 Pro—
Qwen3.6 Plus57.2%
Source
Not directly comparable
τ³-bench results
Gemini 3.1 Pro—
Qwen3.6 Plus70.7%
Source
Not directly comparable
VITA-Bench
Gemini 3.1 Pro—
Qwen3.6 Plus44.3%
Source
Not directly comparable
DeepPlanning
Gemini 3.1 Pro—
Qwen3.6 Plus41.5%
Source
Not directly comparable
Toolathlon
Gemini 3.1 Pro—
Qwen3.6 Plus39.8%
Source
Not directly comparable
MCP Atlas
Gemini 3.1 Pro—
Qwen3.6 Plus48.2%
Source
Not directly comparable
MCP-Tasks
Gemini 3.1 Pro—
Qwen3.6 Plus74.1%
Source
Not directly comparable
WideResearch
Gemini 3.1 Pro—
Qwen3.6 Plus74.3%
Source
Not directly comparable

Coding

LiveCodeBench Pro
Gemini 3.1 Pro82.9%
Source
Qwen3.6 Plus—
Not directly comparable
React Native Evals
Gemini 3.1 Pro78.9%
Source
Qwen3.6 Plus—
Not directly comparable
Vibe Code Bench
Shared source
Gemini 3.1 Pro32.03%
Qwen3.6 Plus25.56%
Gemini 3.1 Pro leads this result
EEBench
Shared source
Gemini 3.1 Pro46.3%
Qwen3.6 Plus12.7%
Gemini 3.1 Pro leads this result
CADGenBench Generation
Gemini 3.1 Pro21.1%
Source
Qwen3.6 Plus—
Not directly comparable
SWE-bench Verified
Gemini 3.1 Pro—
Qwen3.6 Plus78.8%
Source
Not directly comparable
SWE-bench Pro
Gemini 3.1 Pro—
Qwen3.6 Plus56.6%
Source
Not directly comparable
SWE Multilingual
Gemini 3.1 Pro—
Qwen3.6 Plus73.8%
Source
Not directly comparable
LiveCodeBench v6
Gemini 3.1 Pro—
Qwen3.6 Plus87.1%
Source
Not directly comparable

Reasoning

ARC-AGI-2
Gemini 3.1 Pro77.1%
Source
Qwen3.6 Plus—
Not directly comparable
ARC-AGI-3
Gemini 3.1 Pro0.4%
Source
Qwen3.6 Plus—
Not directly comparable
AI-Needle
Gemini 3.1 Pro—
Qwen3.6 Plus68.3%
Source
Not directly comparable
LongBench v2
Gemini 3.1 Pro—
Qwen3.6 Plus62%
Source
Not directly comparable

Knowledge

GPQA-D
Gemini 3.1 Pro94.3%
Source
Qwen3.6 Plus—
Not directly comparable
HLE w/o tools
Gemini 3.1 Pro45.4%
Source
Qwen3.6 Plus—
Not directly comparable
HealthBench Hard
Gemini 3.1 Pro20.6%
Source
Qwen3.6 Plus—
Not directly comparable
MedXpertQA (Text)
Gemini 3.1 Pro71.5%
Source
Qwen3.6 Plus—
Not directly comparable
GPQA
Gemini 3.1 Pro—
Qwen3.6 Plus90.4%
Source
Not directly comparable
SuperGPQA
Gemini 3.1 Pro—
Qwen3.6 Plus71.6%
Source
Not directly comparable
MMLU-Pro
Gemini 3.1 Pro—
Qwen3.6 Plus88.5%
Source
Not directly comparable
MMLU-Redux
Gemini 3.1 Pro—
Qwen3.6 Plus94.5%
Source
Not directly comparable
C-Eval
Gemini 3.1 Pro—
Qwen3.6 Plus93.3%
Source
Not directly comparable
HLE
Gemini 3.1 Pro—
Qwen3.6 Plus28.8%
Source
Not directly comparable

Math

FrontierMath v2 (Tiers 1-3)
Shared source
Gemini 3.1 Pro36.900%
Qwen3.6 Plus26.207%
Gemini 3.1 Pro leads this result
FrontierMath v2 (Tier 4)
Shared source
Gemini 3.1 Pro16.700%
Qwen3.6 Plus8.333%
Gemini 3.1 Pro leads this result
AIME26
Gemini 3.1 Pro—
Qwen3.6 Plus95.3%
Source
Not directly comparable
HMMT Feb 2025
Gemini 3.1 Pro—
Qwen3.6 Plus96.7%
Source
Not directly comparable
HMMT Nov 2025
Gemini 3.1 Pro—
Qwen3.6 Plus94.6%
Source
Not directly comparable
HMMT Feb 2026
Gemini 3.1 Pro—
Qwen3.6 Plus87.8%
Source
Not directly comparable
MMAnswerBench
Gemini 3.1 Pro—
Qwen3.6 Plus83.8%
Source
Not directly comparable

Multilingual

MMLU-ProX
Gemini 3.1 Pro—
Qwen3.6 Plus84.7%
Source
Not directly comparable
NOVA-63
Gemini 3.1 Pro—
Qwen3.6 Plus57.9%
Source
Not directly comparable

Multimodal

MMMU-Pro
Gemini 3.1 Pro83.9%
Source
Qwen3.6 Plus78.8%
Source
Gemini 3.1 Pro leads this result
CharXiv
Gemini 3.1 Pro80.2%
Source
Qwen3.6 Plus81.5%
Source
Qwen3.6 Plus leads this result
ERQA
Gemini 3.1 Pro69.4%
Source
Qwen3.6 Plus—
Not directly comparable
SimpleVQA
Gemini 3.1 Pro72.4%
Source
Qwen3.6 Plus—
Not directly comparable
ScreenSpot Pro
Gemini 3.1 Pro84.4%
Source
Qwen3.6 Plus68.2%
Source
Gemini 3.1 Pro leads this result
ZeroBench
Gemini 3.1 Pro29.0%
Source
Qwen3.6 Plus—
Not directly comparable
MedXpertQA (MM)
Gemini 3.1 Pro81.3%
Source
Qwen3.6 Plus—
Not directly comparable
MMMU
Gemini 3.1 Pro—
Qwen3.6 Plus86.0%
Source
Not directly comparable
MathVision
Gemini 3.1 Pro—
Qwen3.6 Plus88.0%
Source
Not directly comparable
VideoMMMU
Gemini 3.1 Pro—
Qwen3.6 Plus84.0%
Source
Not directly comparable
V*
Gemini 3.1 Pro—
Qwen3.6 Plus96.9%
Source
Not directly comparable

Instruction following

IFEval
Gemini 3.1 Pro—
Qwen3.6 Plus94.3%
Source
Not directly comparable
IFBench
Gemini 3.1 Pro—
Qwen3.6 Plus75.8%
Source
Not directly comparable

Frequently asked questions

Which is better, Gemini 3.1 Pro or Qwen3.6 Plus?

Qwen3.6 Plus has the higher public score estimate, 64.79 versus 55.98, 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 Qwen3.6 Plus?

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 Qwen3.6 Plus?

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 Qwen3.6 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, Gemini 3.1 Pro or Qwen3.6 Plus?

Both models list the same context window, 1M.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 15, 2026

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Gemini 3.1 Pro vs Qwen3.6 Plus

Which one for your work

Coding work

Agentic work

Long documents

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

What is actually comparable

Category results, on a stated basis

Multimodal

Math

Agentic

Coding

Reasoning

Knowledge

Multilingual

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

Multilingual

Multimodal

Instruction following

Frequently asked questions

Which is better, Gemini 3.1 Pro or Qwen3.6 Plus?

Which is better for coding, Gemini 3.1 Pro or Qwen3.6 Plus?

Which is better for agentic tasks, Gemini 3.1 Pro or Qwen3.6 Plus?

Which costs less, Gemini 3.1 Pro or Qwen3.6 Plus?

Which has the larger context window, Gemini 3.1 Pro or Qwen3.6 Plus?

Related comparisons

Watch Gemini 3.1 Pro vs Qwen3.6 Plus