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#126

Mistral Large 4

Mistral Release: 2026-10-06 Tested on: 2026-10-06 19:07 mistralai/mistral-large-4-0::high
1.05T total (49B active)MoEClosed

Summary

Mistral Large 4 scores 7.5 on AI BENCHY and ranks #126. It has 9.0 reliability, a 65.2% pass rate, $1.391 total cost, and 263.69s average response time.

What makes Mistral Large 4 unique: It stands out most in Combined, where it ranks #1, while Coding is its weakest area at #17.

Model facts

Researched on 2026-10-06

Reported
Parameters
1.05T total (49B active)
Architecture
MoE
Availability
Closed
License
-

Mistral reports 1.05T total and 49B active parameters, plus a 1.6B vision encoder. The vendor describes this public preview as open-weight, but its checkpoint page currently supplies no weight download or license, and no Large 4 checkpoint was found in the official Hugging Face registry. Classified as API-only until the exact weights and license can be verified. The OpenRouter route exposes 524,288 context tokens and 262,144 completion tokens, with tools and structured outputs but no configurable reasoning parameter.

Score

7.5

Consistency

7.9

Total Output Tokens

590,306

Total Input Tokens

230,895

Input Price

$0.680 / 1M

Output Price

$2.090 / 1M

Cache Read Price

$0.070 / 1M

Cache Write Price

N/A

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Tests Correct

Wrong Tests: 11

Attempt pass rate: 65.2%

Flaky tests

6

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

263.69s

Response Time (max): 1727.29s

Response Time (total): 6064.89s

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#126 Mistral Large 4

high
Cost
$0.007
Time
53.3s
Tokens
3,333 tok

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Agentic 10.0 10.0
Anti-AI Tricks 8.3 10.0
Coding 3.3 4.4
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 3.5 4.4
General Intelligence 10.0 10.0
Instructions following 8.4 6.9
Puzzle Solving 5.4 7.1
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models