Enter opens the highlighted result. Esc closes.

Mistral Small 3.2 24B vs Qwen2.5 VL 72B Instruct

Mistral Small 3.2 24B costs 3.3x less per output token than Qwen2.5 VL 72B Instruct ($0.30 vs $1.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace Mistral Small 3.2 24B Replace Qwen2.5 VL 72B Instruct
Mistral Small 3.2 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.30
Qwen2.5 VL 72B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.00
vs $0.30 vs $1.00 per 1M output tokens. Mistral Small 3.2 24B is 3.3x cheaper.

Mistral Small 3.2 24B or Qwen2.5 VL 72B Instruct: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Mistral Small 3.2 24B for output tokens 3.3x cheaper ($0.30 vs $1.00 per million) and a larger context window (256K against 128K tokens).

Model AMistral Small 3.2 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen2.5 VL 72B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Mistral Small 3.2 24B has results on Design Arena: websites, Design Arena: UI components and Design Arena: game dev; Qwen2.5 VL 72B Instruct on OSWorld, Kagi LLM Benchmark and GeoBench. Compare them on price and context instead.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Mistral Small 3.2 24B not benchmarked, Qwen2.5 VL 72B Instruct not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Mistral Small 3.2 24B $0.30 against Qwen2.5 VL 72B Instruct $1.00 per million output tokens, 3.3x apart.
Context window
Mistral Small 3.2 24B takes 256K tokens, Qwen2.5 VL 72B Instruct 128K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Agentic work benchmarks for Mistral Small 3.2 24B and Qwen2.5 VL 72B Instruct
BenchmarkMistral Small 3.2 24BQwen2.5 VL 72B InstructLeader
OSWorldNot measured5.0%Only Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Reasoning benchmarks for Mistral Small 3.2 24B and Qwen2.5 VL 72B Instruct
BenchmarkMistral Small 3.2 24BQwen2.5 VL 72B InstructLeader
Kagi LLM BenchmarkNot measured36.0%Only Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 21 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Knowledge benchmarks for Mistral Small 3.2 24B and Qwen2.5 VL 72B Instruct
BenchmarkMistral Small 3.2 24BQwen2.5 VL 72B InstructLeader
GeoBenchNot measured62.0%Only Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 17 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Web design benchmarks for Mistral Small 3.2 24B and Qwen2.5 VL 72B Instruct
BenchmarkMistral Small 3.2 24BQwen2.5 VL 72B InstructLeader
Design Arena: websites896Not measuredOnly Mistral Small 3.2 24B measured
Design Arena: UI components907Not measuredOnly Mistral Small 3.2 24B measured
Design Arena: game dev889Not measuredOnly Mistral Small 3.2 24B measured
Design Arena: data viz929Not measuredOnly Mistral Small 3.2 24B measured
Design Arena: all code categories907Not measuredOnly Mistral Small 3.2 24B measured
Neither model has a result on the other 4 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
General benchmarks for Mistral Small 3.2 24B and Qwen2.5 VL 72B Instruct
BenchmarkMistral Small 3.2 24BQwen2.5 VL 72B InstructLeader
LMArena VisionNot measured1107Only Qwen2.5 VL 72B Instruct measured
LMArena Vision: EnglishNot measured1115Only Qwen2.5 VL 72B Instruct measured
LMArena Vision: ChineseNot measured1107Only Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 43 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Mistral Small 3.2 24B$0.0003Fits in one request
Qwen2.5 VL 72B Instruct$0.0013Fits in one request

Mistral Small 3.2 24B costs less

Repository review

50K input + 3K output tokens

Mistral Small 3.2 24B$0.0059Fits in one request
Qwen2.5 VL 72B Instruct$0.043Fits in one request

Mistral Small 3.2 24B costs less

Agent loop

200K input + 10K output tokens

Mistral Small 3.2 24B$0.023Fits in one request
Qwen2.5 VL 72B Instruct$0.170Exceeds the context window

Mistral Small 3.2 24B costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Mistral Small 3.2 24B and Qwen2.5 VL 72B Instruct
SpecificationMistral Small 3.2 24BQwen2.5 VL 72B Instruct
MakerMistral AIQwen
WeightsOpen weightsOpen weights
ReleasedJune 20, 2025February 1, 2025
Context window256K128K
Input $/Mtok$0.10$0.80
Output $/Mtok$0.30$1.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Small 3.2 24B better than Qwen2.5 VL 72B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Small 3.2 24B for output tokens 3.3x cheaper ($0.30 vs $1.00 per million) and a larger context window (256K against 128K tokens).

Which is cheaper, Mistral Small 3.2 24B or Qwen2.5 VL 72B Instruct?

Mistral Small 3.2 24B costs $0.10 per million input tokens and $0.30 per million output tokens; Qwen2.5 VL 72B Instruct costs $0.80 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Small 3.2 24B or Qwen2.5 VL 72B Instruct?

Mistral Small 3.2 24B, with 256K tokens against 128K.

Has any benchmark tested both Mistral Small 3.2 24B and Qwen2.5 VL 72B Instruct?

No benchmark has tested both yet. Mistral Small 3.2 24B has results on Design Arena: websites, Design Arena: UI components and Design Arena: game dev; Qwen2.5 VL 72B Instruct on OSWorld, Kagi LLM Benchmark and GeoBench. Compare them on price and context instead. Data as of October 22, 2026.

Compare next