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Gemini 3 Pro vs Qwen3.5-122B-A10B

Gemini 3 Pro leads the LLM Stats Score 38.6 to 35.0. Qwen3.5-122B-A10B is 5.5x cheaper per token.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 3 Pro leads the overall LLM Stats Score 38.6 to 35.0, ranking #63 overall.

In the 12 individual benchmarks reported for both models, Gemini 3 Pro wins 10; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3.5-122B-A10B is roughly 5.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3 Pro

  • overall performance matters — it scores 38.6 and ranks #63 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 10 of 12 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window

Choose Qwen3.5-122B-A10B

  • cost matters — it's about 5.5x cheaper per token
  • you want the most recent training data — it shipped Feb 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 3 Pro
Google
Qwen3.5-122B-A10B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
38.6
#63
35.0
#88
Reasoning
38.6
#60
35.5
#79
Coding
24.6
#71
20.3
#97
Agents
15.5
#85
15.6
#82
Cost, coverage & limits
Benchmark wins
10 of 12
2 of 12
Input price
$2.00 / M
$0.29 / M
Output price
$12.00 / M
$2.40 / M
Context window
1,048,576
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
Gemini 3 Pro
Qwen3.5-122B-A10B
Math
37.1#31
36.1#41
Vision
26.3#41
25.8#42
Tool use
14.0#94
12.2#105
Multimodal
28.3#35
29.1#31
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

21 reported for Gemini 3 Pro · 81 for Qwen3.5-122B-A10B

12 shared

Gemini 3 Pro outperforms in 10 benchmarks (CharXiv-R, Global PIQA, GPQA, MMMLU, MMMU-Pro, ScreenSpot Pro, SWE-Bench Verified, t2-bench, Terminal-Bench 2.0, VideoMMMU), while Qwen3.5-122B-A10B is better at 2 benchmarks (Humanity's Last Exam, OmniDocBench 1.5).

Gemini 3 Pro significantly outperforms across most benchmarks.

Fri Sep 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3.5-122B-A10B costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 6.9x more expensive than Qwen3.5-122B-A10B ($0.29/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 5.0x more expensive than Qwen3.5-122B-A10B ($2.40/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than Qwen3.5-122B-A10B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Sep 11 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3.5-122B-A10B
Input tokens$0.29
Output tokens$2.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3 Pro accepts 1,048,576 input tokens compared to Qwen3.5-122B-A10B's 262,144 tokens. Qwen3.5-122B-A10B can generate longer responses up to 262,144 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-122B-A10B
Input262,144 tokens
Output262,144 tokens
Fri Sep 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3 Pro and Qwen3.5-122B-A10B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3 Pro

Text
Images
Audio
Video

Qwen3.5-122B-A10B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while Qwen3.5-122B-A10B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3 Pro

Proprietary

Closed source

Qwen3.5-122B-A10B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while Qwen3.5-122B-A10B was released on 2026-02-24.

Qwen3.5-122B-A10B is 3 months newer than Gemini 3 Pro.

Gemini 3 Pro

Nov 18, 2025

9 months ago

Qwen3.5-122B-A10B

Feb 24, 2026

6 months ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3.5-122B-A10B's cutoff date is not specified.

We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Qwen3.5-122B-A10B's cutoff date.

Gemini 3 Pro

Jan 2025

Qwen3.5-122B-A10B

—

Provider Availability

Gemini 3 Pro is available from Google. Qwen3.5-122B-A10B is available from DeepInfra, Novita.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

Qwen3.5-122B-A10B

deepinfra logo
Deepinfra
Input Price:Input: $0.29/1MOutput Price:Output: $2.40/1M
novita logo
Novita
Input Price:Input: $0.40/1MOutput Price:Output: $3.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3 Pro and Qwen3.5-122B-A10B side-by-side, then vote on the output you prefer.

Gemini 3 Pro
✓ Preferred
Qwen3.5-122B-A10B
Open in Playground

FAQ

Common questions about Gemini 3 Pro vs Qwen3.5-122B-A10B.

Which is better, Gemini 3 Pro or Qwen3.5-122B-A10B?

Gemini 3 Pro leads the LLM Stats Score 38.6 to 35.0. Gemini 3 Pro is made by Google and Qwen3.5-122B-A10B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3 Pro compare to Qwen3.5-122B-A10B in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. Qwen3.5-122B-A10B scores CountBench: 97.0%, VLMsAreBlind: 96.7%, MMLU-Redux: 94.0%, IFEval: 93.4%, AI2D: 93.3%.

Is Gemini 3 Pro cheaper than Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B is 6.9x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. Qwen3.5-122B-A10B costs $0.29/M input and $2.40/M output via deepinfra.

What are the context window sizes for Gemini 3 Pro and Qwen3.5-122B-A10B?

Gemini 3 Pro supports 1.0M tokens and Qwen3.5-122B-A10B supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3 Pro and Qwen3.5-122B-A10B?

Key differences include LLM Stats Score (38.6 vs 35.0), context window (1.0M vs 262K), input pricing ($2.00 vs $0.29/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3 Pro and Qwen3.5-122B-A10B?

Gemini 3 Pro is developed by Google and Qwen3.5-122B-A10B is developed by Alibaba Cloud / Qwen Team.

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