Noometry

Model comparison

Mixtral 8x7B vs Qwen3.5-9B

Qwen3.5-9B is the stronger model overall, scoring 33.8 to 27.1 on the Noometry Index.

Last verified . 3 shared benchmarks.

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Qwen3.5-9B Alibaba (Qwen)

33.8

Rank #236 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Mixtral 8x7B scores higher in 0 categories and Qwen3.5-9B in 4 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 11.0.
  • The biggest single-benchmark swing is GPQA Diamond: 30.6% for Mixtral 8x7B and 79% for Qwen3.5-9B.
  • Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
  • Qwen3.5-9B accepts more context: 262K tokens versus 32K.

Side by side

Mixtral 8x7BQwen3.5-9B
ProviderMistral AIAlibaba (Qwen)
Noometry Index27.133.8
Released2023-12-112026-02-23
WeightsOpenOpen
Context window32K262K
Max output32K66K
Input $ / M tokens$0.70$0.10
Output $ / M tokens$0.70$0.15
Results tracked3810

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Category by category

Coding Qwen3.5-9B leads

Mixtral 8x7B: 32.8 (#269), Qwen3.5-9B: 35.9 (#217)

BenchmarkMixtral 8x7BQwen3.5-9B
SciCode—27.5%
LMArena Coding1126—
HumanEval+39.6%—
MBPP+49.7%—

Agentic & Tool Use Not comparable

Mixtral 8x7B: —, Qwen3.5-9B: 14.5 (#151)

BenchmarkMixtral 8x7BQwen3.5-9B
Terminal-Bench—9.2%

Reasoning Qwen3.5-9B leads

Mixtral 8x7B: 18.2 (#285), Qwen3.5-9B: 23.1 (#182)

BenchmarkMixtral 8x7BQwen3.5-9B
DTBench49.6%71.2%
Epoch Capabilities Index118.47139.46
CritPt—0.3%
Chess Puzzles—12%
LMArena Hard Prompts1115—
LMCA—24.5%
Adversarial NLI55.2%—
ForecastBench56.3—
HellaSwag86.7%—
PIQA83.6%—
WinoGrande77.2%—

Math Qwen3.5-9B leads

Mixtral 8x7B: 18.8 (#289), Qwen3.5-9B: 34.8 (#192)

BenchmarkMixtral 8x7BQwen3.5-9B
MathArena Final-Answer Competitions—48.5%
OTIS Mock AIME 2024-2025—61.7%
Omni-MATH10.5%—
LMArena Math1147—
MATH Level 510%—
GSM8K74.4%—

Knowledge Qwen3.5-9B leads

Mixtral 8x7B: 11.0 (#301), Qwen3.5-9B: 46.0 (#84)

BenchmarkMixtral 8x7BQwen3.5-9B
GPQA Diamond30.6%79%
MMLU-Pro33.5%—
GPQA (HELM)29.6%—
LMArena Expert1088—
ARC (AI2) Challenge87.3%—
MMLU70.6%—
OpenBookQA85.8%—
TriviaQA82.2%—

Multilingual Not comparable

Mixtral 8x7B: 29.6 (#266), Qwen3.5-9B: —

BenchmarkMixtral 8x7BQwen3.5-9B
LMArena Non-English1077—
LMArena Chinese1055—
LMArena French1166—
LMArena German1114—
LMArena Japanese931—
LMArena Korean968—
LMArena Russian1090—
LMArena Spanish1111—

Instruction Following Not comparable

Mixtral 8x7B: 51.0 (#297), Qwen3.5-9B: —

BenchmarkMixtral 8x7BQwen3.5-9B
IFEval57.5%—
LMArena Instruction Following1109—

Long Context Not comparable

Mixtral 8x7B: 33.4 (#260), Qwen3.5-9B: —

BenchmarkMixtral 8x7BQwen3.5-9B
LMArena Longer Query1103—

Writing & Preference Not comparable

Mixtral 8x7B: 34.2 (#270), Qwen3.5-9B: —

BenchmarkMixtral 8x7BQwen3.5-9B
LMArena Text1132—
LMArena Creative Writing1109—
WildBench67.3%—
LMArena Multi-Turn1115—

Frequently asked questions

Is Mixtral 8x7B better than Qwen3.5-9B?

Qwen3.5-9B is the stronger model overall, scoring 33.8 to 27.1 on the Noometry Index.

Which is cheaper, Mixtral 8x7B or Qwen3.5-9B?

Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

Is Mixtral 8x7B or Qwen3.5-9B better for coding?

Qwen3.5-9B scores higher on coding benchmarks: 35.9 versus 32.8 in the Noometry coding category.

Which has the bigger context window?

Qwen3.5-9B does, with 262K tokens against 32K.

How many benchmarks do Mixtral 8x7B and Qwen3.5-9B share?

3 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Qwen3.5-9B has 10.

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