Gemini 3 Pro vs Qwen3-235B-A22B

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

Gemini 3 Pro

Google · Nov 2025

73.6

Google's November 2025 frontier breakout — 91.9% GPQA Diamond and 37.5% HLE made it the reasoning leader of its generation.

Qwen3-235B-A22B

Alibaba (Qwen) · Jul 2025

69.0

The most popular open general-purpose Qwen: 235B MoE with hybrid thinking, a staple of the 2025 open-source ecosystem.

The verdict

Gemini 3 Pro wins 3 of the 3 benchmarks these models share, against 0 for Qwen3-235B-A22B. On price the gap is dramatic: Qwen3-235B-A22B works out roughly 12x cheaper per blended million tokens. Gemini 3 Pro also takes 1M of context versus 262K for Qwen3-235B-A22B. And Qwen3-235B-A22B is open-weights (Apache 2.0), so it can be self-hosted — a structural advantage if data control or vendor independence matters.

Benchmark head-to-head 30

GPQA Diamond
91.9%81.1%
Gemini 3 ProQwen3-235B-A22B
AIME 2025
95%92.3%
Gemini 3 ProQwen3-235B-A22B
HLE
37.5%~18.2%
Gemini 3 ProQwen3-235B-A22B

Specs & pricing

Gemini 3 ProQwen3-235B-A22B
modhub Index73.669.0
Input price / 1M$2$0.22
Output price / 1M$12$0.88
Context window1M262K
Max output66K33K
Open weightsnoyes (Apache 2.0)
Reasoning modelyesyes
Multimodal inputtext, image, audio, videotext
Knowledge cutoffJan 2025Apr 2025
ReleasedNov 2025Jul 2025
Example monthly cost*$38.00$3.52

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, Gemini 3 Pro or Qwen3-235B-A22B?
Gemini 3 Pro wins 3 of the 3 benchmarks these models share, against 0 for Qwen3-235B-A22B. On price the gap is dramatic: Qwen3-235B-A22B works out roughly 12x cheaper per blended million tokens. Gemini 3 Pro also takes 1M of context versus 262K for Qwen3-235B-A22B. And Qwen3-235B-A22B is open-weights (Apache 2.0), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
Which is cheaper, Gemini 3 Pro or Qwen3-235B-A22B?
Gemini 3 Pro costs $2/$12 per million input/output tokens, while Qwen3-235B-A22B costs $0.22/$0.88. For a typical workload of 10M input and 1.5M output tokens per month, that's $38.00 versus $3.52.
Which model is better for coding, Gemini 3 Pro or Qwen3-235B-A22B?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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