Standard Compute
Model Comparison 2026

Gemini 3.1 Pro vs Qwen3 235B A22B

Gemini 3.1 Pro
Google · Frontier · Proprietary
$5.00/1M · 1.0M ctx
Qwen3 235B A22B
Alibaba (Qwen) · Budget · Open weights
$0.23/1M · 262K ctx

Community Vote

Pick a winner in each dimension — change your vote anytime.

Output Quality
Correctness and depth of what it produces
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for $
How much capability you get per dollar
Reliability
Consistent results — fewer refusals, loops, and format breaks

Specs & Pricing, Side by Side

Spec
Gemini 3.1 Pro
Qwen3 235B
Maker
Google
Alibaba (Qwen)
Blended price / 1M
$5.00
$0.23
Input / output
$2.00 in · $12 out / 1M tokens
$0.09 in · $0.55 out / 1M tokens
Context window
1.0M
262K
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
No
Output Quality
9.2
8.0
Agentic Ability
9.0
8.0
Speed
7.5
8.2
Value for $
8.1
10.0
Reliability
8.8
8.8

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: Gemini 3.1 Pro or Qwen3 235B?

Updated 2026-08-02

Choose Gemini 3.1 Pro if you want huge-context and multimodal work, and Gemini CLI users. Choose Qwen3 235B A22B if you want self-hosted or ultra-cheap open-weight agents.

Editorially it's close: each model leads in 2 of our five dimensions. On price, Gemini 3.1 Pro runs about $5.00 per 1M tokens (blended) and is proprietary; Qwen3 235B A22B is about $0.23 and open-weight.

Where Gemini 3.1 Pro falls short
  • Tool use a touch behind Claude/GPT on some agents
  • Preview-tier stability varies
Full Gemini 3.1 Pro breakdown →
Where Qwen3 235B falls short
  • Behind frontier models on quality
  • Needs real GPUs to self-host well
Full Qwen3 235B breakdown →

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