Noometry

Model comparison

Mistral Medium 3.5 vs Qwen3-Next 80B-A3B Instruct

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 40.2 on the Noometry Index.

Last verified . 17 shared benchmarks.

Mistral Medium 3.5 Mistral AI

40.2

Rank #152 Confirmed

Qwen3-Next 80B-A3B Instruct Alibaba (Qwen)

43.0

Rank #102 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 4 categories and Qwen3-Next 80B-A3B Instruct in 4 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3-Next 80B-A3B Instruct leads 31.1 to 17.3.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 41.4% for Mistral Medium 3.5 and 66.7% for Qwen3-Next 80B-A3B Instruct.
  • Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
  • Mistral Medium 3.5 accepts more context: 262K tokens versus 131K.

Side by side

Mistral Medium 3.5Qwen3-Next 80B-A3B Instruct
ProviderMistral AIAlibaba (Qwen)
Noometry Index40.243.0
Released—2025-09
WeightsOpenOpen
Context window262K131K
Max output210K33K
Input $ / M tokens$1.50$0.50
Output $ / M tokens$7.50$2
Results tracked2225

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Category by category

Coding Qwen3-Next 80B-A3B Instruct leads

Mistral Medium 3.5: 36.0 (#213), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)

BenchmarkMistral Medium 3.5Qwen3-Next 80B-A3B Instruct
LMArena Coding14611440
LMArena WebDev1264—

Reasoning Qwen3-Next 80B-A3B Instruct leads

Mistral Medium 3.5: 17.3 (#295), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)

BenchmarkMistral Medium 3.5Qwen3-Next 80B-A3B Instruct
Kagi LLM Benchmark41.4%66.7%
LMArena Hard Prompts14361428
NYT Connections (extended)12.9%—
Epoch Capabilities Index141.35—

Math Too close to call

Mistral Medium 3.5: 39.1 (#113), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)

BenchmarkMistral Medium 3.5Qwen3-Next 80B-A3B Instruct
LMArena Math14311440
Omni-MATH—46.7%

Knowledge Qwen3-Next 80B-A3B Instruct leads

Mistral Medium 3.5: 40.0 (#126), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)

BenchmarkMistral Medium 3.5Qwen3-Next 80B-A3B Instruct
LMArena Expert14321417
MMLU-Pro—78.6%
Vectara Hallucination Rate—9.3%
GPQA (HELM)—63%

Multimodal Not comparable

Mistral Medium 3.5: 38.3 (#65), Qwen3-Next 80B-A3B Instruct: —

BenchmarkMistral Medium 3.5Qwen3-Next 80B-A3B Instruct
LMArena Vision1223—

Multilingual Too close to call

Mistral Medium 3.5: 51.9 (#100), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)

BenchmarkMistral Medium 3.5Qwen3-Next 80B-A3B Instruct
LMArena Non-English14041407
LMArena Chinese14421460
LMArena French14481413
LMArena German14511417
LMArena Korean13851364
LMArena Russian13951404
LMArena Spanish14091435
LMArena Japanese—1395

Instruction Following Mistral Medium 3.5 leads

Mistral Medium 3.5: 74.6 (#90), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)

BenchmarkMistral Medium 3.5Qwen3-Next 80B-A3B Instruct
LMArena Instruction Following14151389
IFEval—81%

Long Context Mistral Medium 3.5 leads

Mistral Medium 3.5: 43.2 (#103), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)

BenchmarkMistral Medium 3.5Qwen3-Next 80B-A3B Instruct
LMArena Longer Query14151403
Fiction.LiveBench—55.6%

Writing & Preference Too close to call

Mistral Medium 3.5: 58.5 (#117), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)

BenchmarkMistral Medium 3.5Qwen3-Next 80B-A3B Instruct
LMArena Text14211417
LMArena Creative Writing13741334
LMArena Multi-Turn14231416
WildBench—80.7%
EQ-Bench 4993—

Frequently asked questions

Is Mistral Medium 3.5 better than Qwen3-Next 80B-A3B Instruct?

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 40.2 on the Noometry Index.

Which is cheaper, Mistral Medium 3.5 or Qwen3-Next 80B-A3B Instruct?

Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Is Mistral Medium 3.5 or Qwen3-Next 80B-A3B Instruct better for coding?

Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 36.0 in the Noometry coding category.

Which has the bigger context window?

Mistral Medium 3.5 does, with 262K tokens against 131K.

How many benchmarks do Mistral Medium 3.5 and Qwen3-Next 80B-A3B Instruct share?

17 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.

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