Model comparison

Mistral Large 4 vs Qwen3.6 Flash

Mistral Large 4 is the stronger model overall, scoring 43.1 to 38.8 on the Noometry Index. Qwen3.6 Flash costs 2.4× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

Last verified . 1 shared benchmarks.

Mistral Large 4 Mistral AI

43.1

Rank #99 Confirmed

Qwen3.6 Flash Alibaba (Qwen)

38.8

Rank #182 Confirmed

Summary

  • They share 1 benchmark with published results for both. Mistral Large 4 scores higher in 1 category and Qwen3.6 Flash in 2 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.6 Flash leads 29.0 to 22.5.
  • Qwen3.6 Flash is cheaper at $0.19 / $1.13 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
  • Mistral Large 4 accepts more context: 1.05M tokens versus 1M.

Side by side

Mistral Large 4 and Qwen3.6 Flash specifications
Mistral Large 4Qwen3.6 Flash
ProviderMistral AIAlibaba (Qwen)
Noometry Index43.138.8
Released2026-10-062026-04-27
WeightsProprietaryProprietary
Context window1.05M1M
Max output262K66K
Input $ / M tokens$0.68$0.19
Output $ / M tokens$2.09$1.13
Results tracked1513

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Not comparable

Mistral Large 4: 48.6 (#57), Qwen3.6 Flash: —

Coding benchmarks
BenchmarkMistral Large 4Qwen3.6 Flash
LMArena WebDev1541—
LMArena Coding1475—
ALE-Bench—326.4

Reasoning Qwen3.6 Flash leads

Mistral Large 4: 22.5 (#192), Qwen3.6 Flash: 29.0 (#96)

Reasoning benchmarks
BenchmarkMistral Large 4Qwen3.6 Flash
SimpleBench—35.2%
NYT Connections (extended)27.4%—
Chess Puzzles—20%
LMArena Hard Prompts1444—
Mystery Game Puzzles—18%
DTBench—77.1%
LMCA—31%
Epoch Capabilities Index—143.26

Math Mistral Large 4 leads

Mistral Large 4: 40.4 (#91), Qwen3.6 Flash: 39.0 (#117)

Math benchmarks
BenchmarkMistral Large 4Qwen3.6 Flash
FrontierMath (Tiers 1-3)—22.5%
OTIS Mock AIME 2024-2025—84.4%
LMArena Math1488—
FrontierMath (Feb 2025 set)—10.3%
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3.6 Flash leads

Mistral Large 4: 36.6 (#166), Qwen3.6 Flash: 42.1 (#100)

Knowledge benchmarks
BenchmarkMistral Large 4Qwen3.6 Flash
SimpleQA Verified20%15.9%
GPQA Diamond—83.3%
LMArena Expert1447—

Multilingual Not comparable

Mistral Large 4: 52.6 (#82), Qwen3.6 Flash: —

Multilingual benchmarks
BenchmarkMistral Large 4Qwen3.6 Flash
LMArena Non-English1415—
LMArena Chinese1491—
LMArena Russian1414—

Instruction Following Not comparable

Mistral Large 4: 75.0 (#76), Qwen3.6 Flash: —

Instruction Following benchmarks
BenchmarkMistral Large 4Qwen3.6 Flash
LMArena Instruction Following1424—

Long Context Not comparable

Mistral Large 4: 43.6 (#89), Qwen3.6 Flash: —

Long Context benchmarks
BenchmarkMistral Large 4Qwen3.6 Flash
LMArena Longer Query1429—

Writing & Preference Not comparable

Mistral Large 4: 60.4 (#97), Qwen3.6 Flash: —

Writing & Preference benchmarks
BenchmarkMistral Large 4Qwen3.6 Flash
LMArena Text1427—
LMArena Creative Writing1361—
LMArena Multi-Turn1424—

Frequently asked questions

Is Mistral Large 4 better than Qwen3.6 Flash?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 38.8 on the Noometry Index. Qwen3.6 Flash costs 2.4× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

Which is cheaper, Mistral Large 4 or Qwen3.6 Flash?

Qwen3.6 Flash is cheaper. It lists at $0.19 per million input tokens and $1.13 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 1M.

How many benchmarks do Mistral Large 4 and Qwen3.6 Flash share?

1 benchmark has published results for both models. Mistral Large 4 has 15 scored results on Noometry and Qwen3.6 Flash has 13.

Related comparisons

Go deeper