Noometry

Model comparison

Mixtral 8x7B vs Qwen3.5 35B-A3B

Qwen3.5 35B-A3B is the stronger model overall, scoring 41.7 to 26.8 on the Noometry Index.

Last verified . 20 shared benchmarks.

Mixtral 8x7B Mistral AI

26.8

Rank #328 Confirmed

Qwen3.5 35B-A3B Alibaba (Qwen)

41.7

Rank #118 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Mixtral 8x7B scores higher in 0 categories and Qwen3.5 35B-A3B in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.5 35B-A3B leads 47.7 to 11.0.
  • The biggest single-benchmark swing is GPQA Diamond: 30.6% for Mixtral 8x7B and 83.5% for Qwen3.5 35B-A3B.
  • Both cost about the same: $0.70 input and $0.70 output per million tokens.
  • Qwen3.5 35B-A3B accepts more context: 262K tokens versus 32K.

Side by side

Mixtral 8x7BQwen3.5 35B-A3B
ProviderMistral AIAlibaba (Qwen)
Noometry Index26.841.7
Released2023-12-112026-02-01
WeightsOpenOpen
Context window32K262K
Max output32K66K
Input $ / M tokens$0.70$0.25
Output $ / M tokens$0.70$2
Results tracked3828

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Category by category

Coding Qwen3.5 35B-A3B leads

Mixtral 8x7B: 32.2 (#265), Qwen3.5 35B-A3B: 33.5 (#244)

BenchmarkMixtral 8x7BQwen3.5 35B-A3B
LMArena Coding11271410
LMArena WebDev—1254
SciCode—29.3%
HumanEval+39.6%—
MBPP+49.7%—

Reasoning Qwen3.5 35B-A3B leads

Mixtral 8x7B: 17.4 (#283), Qwen3.5 35B-A3B: 23.9 (#158)

BenchmarkMixtral 8x7BQwen3.5 35B-A3B
LMArena Hard Prompts11151400
DTBench49.6%80%
Epoch Capabilities Index118.38142.52
CritPt—0.6%
Chess Puzzles—10%
LMCA—29.5%
Adversarial NLI55.2%—
ForecastBench56.3—
HellaSwag86.7%—
PIQA83.6%—
WinoGrande77.2%—

Math Qwen3.5 35B-A3B leads

Mixtral 8x7B: 17.2 (#284), Qwen3.5 35B-A3B: 38.4 (#86)

BenchmarkMixtral 8x7BQwen3.5 35B-A3B
LMArena Math11471404
MathArena Final-Answer Competitions—56%
OTIS Mock AIME 2024-2025—70%
Omni-MATH10.5%—
MATH Level 510%—
GSM8K74.4%—

Knowledge Qwen3.5 35B-A3B leads

Mixtral 8x7B: 11.0 (#296), Qwen3.5 35B-A3B: 47.7 (#73)

BenchmarkMixtral 8x7BQwen3.5 35B-A3B
GPQA Diamond30.6%83.5%
LMArena Expert10881408
MMLU-Pro33.5%—
Vectara Hallucination Rate—10.5%
GPQA (HELM)29.6%—
ARC (AI2) Challenge87.3%—
MMLU70.6%—
OpenBookQA85.8%—
TriviaQA82.2%—

Multilingual Qwen3.5 35B-A3B leads

Mixtral 8x7B: 29.8 (#261), Qwen3.5 35B-A3B: 50.2 (#122)

BenchmarkMixtral 8x7BQwen3.5 35B-A3B
LMArena Non-English10771379
LMArena Chinese10551458
LMArena French11651412
LMArena German11141367
LMArena Japanese9311326
LMArena Korean9681354
LMArena Russian10901377
LMArena Spanish11101390

Instruction Following Qwen3.5 35B-A3B leads

Mixtral 8x7B: 51.2 (#292), Qwen3.5 35B-A3B: 73.0 (#123)

BenchmarkMixtral 8x7BQwen3.5 35B-A3B
LMArena Instruction Following11101379
IFEval57.5%—

Long Context Qwen3.5 35B-A3B leads

Mixtral 8x7B: 33.4 (#255), Qwen3.5 35B-A3B: 42.4 (#122)

BenchmarkMixtral 8x7BQwen3.5 35B-A3B
LMArena Longer Query11031390

Writing & Preference Qwen3.5 35B-A3B leads

Mixtral 8x7B: 34.4 (#265), Qwen3.5 35B-A3B: 58.1 (#118)

BenchmarkMixtral 8x7BQwen3.5 35B-A3B
LMArena Text11321395
LMArena Creative Writing11091347
LMArena Multi-Turn11151391
WildBench67.3%—

Frequently asked questions

Is Mixtral 8x7B better than Qwen3.5 35B-A3B?

Qwen3.5 35B-A3B is the stronger model overall, scoring 41.7 to 26.8 on the Noometry Index.

Which is cheaper, Mixtral 8x7B or Qwen3.5 35B-A3B?

Qwen3.5 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

Is Mixtral 8x7B or Qwen3.5 35B-A3B better for coding?

Qwen3.5 35B-A3B scores higher on coding benchmarks: 33.5 versus 32.2 in the Noometry coding category.

Which has the bigger context window?

Qwen3.5 35B-A3B does, with 262K tokens against 32K.

How many benchmarks do Mixtral 8x7B and Qwen3.5 35B-A3B share?

20 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Qwen3.5 35B-A3B has 28.

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