Model Comparison 2026

DeepSeek V3.2 vs Mistral Large 3

DeepSeek V3.2
DeepSeek · Balanced · Open weights
$0.26/1M · 131K ctx
Mistral Large 3
Mistral · Balanced · Open weights
$0.80/1M · 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
DeepSeek V3.2
Mistral Large 3
Maker
DeepSeek
Mistral
Blended price / 1M
$0.26
$0.80
Input / output
$0.23 in · $0.34 out / 1M tokens
$0.50 in · $1.50 out / 1M tokens
Context window
131K
262K
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
No
Output Quality
7.6
8.0
Agentic Ability
7.4
7.8
Speed
7.8
8.0
Value for $
9.4
8.9
Reliability
8.6
8.6

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

Verdict: DeepSeek V3.2 or Mistral Large 3?

Updated 2026-06-22

Choose DeepSeek V3.2 if you want dependable open-weight output on a tight budget. Choose Mistral Large 3 if you want general-purpose open-weight agent work, especially in the EU.

In our editorial scoring, Mistral Large 3 leads in 3 of five dimensions (output quality, agentic ability and speed), while DeepSeek V3.2 leads in 1. On price, DeepSeek V3.2 runs about $0.26 per 1M tokens (blended) and is open-weight; Mistral Large 3 is about $0.80 and open-weight.

Where DeepSeek V3.2 falls short
  • Shorter 128K context
  • Superseded by V4 on quality
Full DeepSeek V3.2 breakdown →
Where Mistral Large 3 falls short
  • Below the very top models
  • Less agent-community momentum than GLM/Qwen
Full Mistral Large 3 breakdown →

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