Standard Compute
Model comparison 2026

Gemini 3.5 Flash vs Mistral Large 4

Gemini 3.5 Flash
Google · Balanced · Proprietary
$3.75/1M · 1.0M ctx
Mistral Large 4
Mistral · Balanced · Open weights
$1.10/1M · 1.0M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

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 money
How much capability you get per dollar
Reliability
Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
Gemini 3.5 Flash
Mistral Large 4
Maker
Google
Mistral
Blended price / 1M
$3.75
$1.10
Input / output
$1.50 in · $9.00 out / 1M tokens
$0.68 in · $2.09 out / 1M tokens
Context window
1.0M
1.0M
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
6.8
7.6
Agentic Ability
5.5
7.1
Speed
9.2
7.0
Value for money
5.2
5.9
Reliability
8.6
8.8

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

Verdict: Gemini 3.5 Flash or Mistral Large 4?

Updated 2026-10-13

Choose Gemini 3.5 Flash if you want existing Gemini 3.5 Flash setups until they move to 3.8 Flash. Choose Mistral Large 4 if you want open-weight, EU-provenance agent work that needs long context and image input.

In our editorial scoring, Mistral Large 4 leads in 4 of five dimensions (output quality, agentic ability, value for money and reliability), while Gemini 3.5 Flash leads in 1. On price, Gemini 3.5 Flash runs about $3.75 per 1M tokens (blended) and is proprietary; Mistral Large 4 is about $1.10 and open-weight.

Where Gemini 3.5 Flash falls short
  • Superseded by Gemini 3.8 Flash, which scores higher at a similar or lower price
  • Weak on long agentic tasks (6.6% in Artificial Analysis's Terminal-Bench 4.0 run)
Full Gemini 3.5 Flash breakdown →
Where Mistral Large 4 falls short
  • Still a public preview, so behavior and price can change
  • 26.8% in Artificial Analysis's Terminal-Bench 4.0 run, well below the frontier models
Full Mistral Large 4 breakdown →

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