Model comparison

Mixtral 8x7B vs Qwen2.5-VL 72B Instruct

Qwen2.5-VL 72B Instruct is the stronger model overall, scoring 29.9 to 27.1 on the Noometry Index. Mixtral 8x7B costs 6.0× less per token, which makes it the better buy when Qwen2.5-VL 72B Instruct's lead doesn't matter for your workload.

Last verified October 12, 2026. 0 shared benchmarks.

Mixtral 8x7B

Mistral AI

27.1

Rank #334 Confirmed

Qwen2.5-VL 72B Instruct

Alibaba (Qwen)

29.9

Rank #302 Confirmed

Summary

Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
Qwen2.5-VL 72B Instruct accepts more context: 131K tokens versus 32K.

Side by side

Mixtral 8x7B and Qwen2.5-VL 72B Instruct specifications
	Mixtral 8x7B	Qwen2.5-VL 72B Instruct
Provider	Mistral AI	Alibaba (Qwen)
Noometry Index	27.1	29.9
Released	2023-12-11	2024-09
Weights	Open	Open
Context window	32K	131K
Max output	32K	8K
Input $ / M tokens	$0.70	$2.80
Output $ / M tokens	$0.70	$8.40
Results tracked	38	6

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Category by category

Coding Not comparable

Mixtral 8x7B: 32.8 (#269), Qwen2.5-VL 72B Instruct: —

Coding benchmarks
Benchmark	Mixtral 8x7B	Qwen2.5-VL 72B Instruct
LMArena Coding	1126	—
HumanEval+	39.6%	—
MBPP+	49.7%	—

Agentic & Tool Use Not comparable

Mixtral 8x7B: —, Qwen2.5-VL 72B Instruct: 18.6 (#144)

Agentic & Tool Use benchmarks
Benchmark	Mixtral 8x7B	Qwen2.5-VL 72B Instruct
OSWorld	—	5%

Reasoning Qwen2.5-VL 72B Instruct leads

Mixtral 8x7B: 18.2 (#285), Qwen2.5-VL 72B Instruct: 20.7 (#233)

Reasoning benchmarks
Benchmark	Mixtral 8x7B	Qwen2.5-VL 72B Instruct
Kagi LLM Benchmark	—	36%
LMArena Hard Prompts	1115	—
DTBench	49.6%	—
Adversarial NLI	55.2%	—
Epoch Capabilities Index	118.47	—
ForecastBench	56.3	—
HellaSwag	86.7%	—
PIQA	83.6%	—
WinoGrande	77.2%	—

Math Not comparable

Mixtral 8x7B: 18.8 (#289), Qwen2.5-VL 72B Instruct: —

Math benchmarks
Benchmark	Mixtral 8x7B	Qwen2.5-VL 72B Instruct
Omni-MATH	10.5%	—
LMArena Math	1147	—
MATH Level 5	10%	—
GSM8K	74.4%	—

Knowledge Not comparable

Mixtral 8x7B: 11.0 (#301), Qwen2.5-VL 72B Instruct: —

Knowledge benchmarks
Benchmark	Mixtral 8x7B	Qwen2.5-VL 72B Instruct
GPQA Diamond	30.6%	—
MMLU-Pro	33.5%	—
GPQA (HELM)	29.6%	—
LMArena Expert	1088	—
ARC (AI2) Challenge	87.3%	—
MMLU	70.6%	—
OpenBookQA	85.8%	—
TriviaQA	82.2%	—

Multimodal Not comparable

Mixtral 8x7B: —, Qwen2.5-VL 72B Instruct: 33.5 (#97)

Multimodal benchmarks
Benchmark	Mixtral 8x7B	Qwen2.5-VL 72B Instruct
LMArena Vision	—	1107
Video-MME	—	73.5%
GeoBench	—	62%
SpatialViz-Bench	—	33.3%

Multilingual Not comparable

Mixtral 8x7B: 29.6 (#266), Qwen2.5-VL 72B Instruct: —

Multilingual benchmarks
Benchmark	Mixtral 8x7B	Qwen2.5-VL 72B Instruct
LMArena Non-English	1077	—
LMArena Chinese	1055	—
LMArena French	1166	—
LMArena German	1114	—
LMArena Japanese	931	—
LMArena Korean	968	—
LMArena Russian	1090	—
LMArena Spanish	1111	—

Instruction Following Not comparable

Mixtral 8x7B: 51.0 (#297), Qwen2.5-VL 72B Instruct: —

Instruction Following benchmarks
Benchmark	Mixtral 8x7B	Qwen2.5-VL 72B Instruct
IFEval	57.5%	—
LMArena Instruction Following	1109	—

Long Context Not comparable

Mixtral 8x7B: 33.4 (#260), Qwen2.5-VL 72B Instruct: —

Long Context benchmarks
Benchmark	Mixtral 8x7B	Qwen2.5-VL 72B Instruct
LMArena Longer Query	1103	—

Writing & Preference Not comparable

Mixtral 8x7B: 34.2 (#270), Qwen2.5-VL 72B Instruct: —

Writing & Preference benchmarks
Benchmark	Mixtral 8x7B	Qwen2.5-VL 72B Instruct
LMArena Text	1132	—
LMArena Creative Writing	1109	—
WildBench	67.3%	—
LMArena Multi-Turn	1115	—

Frequently asked questions

Is Mixtral 8x7B better than Qwen2.5-VL 72B Instruct?

Which is cheaper, Mixtral 8x7B or Qwen2.5-VL 72B Instruct?

Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.

Which has the bigger context window?

Qwen2.5-VL 72B Instruct does, with 131K tokens against 32K.

How many benchmarks do Mixtral 8x7B and Qwen2.5-VL 72B Instruct share?

0 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.