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Mistral Small 3.2 24B vs Qwen3.5 Plus 2026-02-15

Mistral Small 3.2 24B costs 5.2x less per output token than Qwen3.5 Plus 2026-02-15 ($0.30 vs $1.56 per million). Updated October 22, 2026; 5 benchmarks have a result for both.

Replace Mistral Small 3.2 24B Replace Qwen3.5 Plus 2026-02-15
Mistral Small 3.2 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.30
0
Qwen3.5 Plus 2026-02-15Qwen
Coding
No data
Overall
No data
Output $/M
$1.56
5
vs boards won of 5 shared

Mistral Small 3.2 24B or Qwen3.5 Plus 2026-02-15: 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 5.2x cheaper ($0.30 vs $1.56 per million) and work measured by Design Arena: websites or Design Arena: UI components, where it leads.

Model AMistral Small 3.2 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.5 Plus 2026-02-15QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
5
Mistral Small 3.2 24B only
0
Qwen3.5 Plus 2026-02-15 only
3
Like-for-like categories
1 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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, Qwen3.5 Plus 2026-02-15 not benchmarked.
Widest category
Web design, 31.1 points apart on average over 5 shared benchmarks.
Widest single gap
Design Arena: websites: Mistral Small 3.2 24B 896 against Qwen3.5 Plus 2026-02-15 1187, 36.4 points apart on a 0 to 100 scale.
Output price
Mistral Small 3.2 24B $0.30 against Qwen3.5 Plus 2026-02-15 $1.56 per million output tokens, 5.2x apart.
Context window
Mistral Small 3.2 24B takes 256K tokens, Qwen3.5 Plus 2026-02-15 1M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryMistral Small 3.2 24BBarsQwen3.5 Plus 2026-02-15Ties
Web design05
All shared boards05
CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
Coding benchmarks for Mistral Small 3.2 24B and Qwen3.5 Plus 2026-02-15
BenchmarkMistral Small 3.2 24BQwen3.5 Plus 2026-02-15Leader
Neither model has a result on 43 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for Mistral Small 3.2 24B and Qwen3.5 Plus 2026-02-15
BenchmarkMistral Small 3.2 24BQwen3.5 Plus 2026-02-15Leader
Neither model has a result on 2 boards here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for Mistral Small 3.2 24B and Qwen3.5 Plus 2026-02-15
BenchmarkMistral Small 3.2 24BQwen3.5 Plus 2026-02-15Leader
Neither model has a result on 42 boards here
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Reasoning benchmarks for Mistral Small 3.2 24B and Qwen3.5 Plus 2026-02-15
BenchmarkMistral Small 3.2 24BQwen3.5 Plus 2026-02-15Leader
Neither model has a result on 23 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Mistral Small 3.2 24B and Qwen3.5 Plus 2026-02-15
BenchmarkMistral Small 3.2 24BQwen3.5 Plus 2026-02-15Leader
Neither model has a result on 14 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for Mistral Small 3.2 24B and Qwen3.5 Plus 2026-02-15
BenchmarkMistral Small 3.2 24BQwen3.5 Plus 2026-02-15Leader
Neither model has a result on 20 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for Mistral Small 3.2 24B and Qwen3.5 Plus 2026-02-15
BenchmarkMistral Small 3.2 24BQwen3.5 Plus 2026-02-15Leader
Design Arena: websites8961187Qwen3.5 Plus 2026-02-15
Design Arena: UI components9041175Qwen3.5 Plus 2026-02-15
Design Arena: game dev8891105Qwen3.5 Plus 2026-02-15
Design Arena: data viz9291135Qwen3.5 Plus 2026-02-15
Design Arena: 3DNot measured1118Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: all code categories9071166Qwen3.5 Plus 2026-02-15
Design Arena: SVGNot measured1107Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: ASCII artNot measured1094Only Qwen3.5 Plus 2026-02-15 measured
Neither model has a result on the other 1 board here
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
General benchmarks for Mistral Small 3.2 24B and Qwen3.5 Plus 2026-02-15
BenchmarkMistral Small 3.2 24BQwen3.5 Plus 2026-02-15Leader
Neither model has a result on 48 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mistral Small 3.2 24B and Qwen3.5 Plus 2026-02-15
BenchmarkMistral Small 3.2 24BQwen3.5 Plus 2026-02-15Leader
Neither model has a result on 5 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
Qwen3.5 Plus 2026-02-15$0.0010Fits 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
Qwen3.5 Plus 2026-02-15$0.018Fits 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
Qwen3.5 Plus 2026-02-15$0.068Fits in one request

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 Qwen3.5 Plus 2026-02-15
SpecificationMistral Small 3.2 24BQwen3.5 Plus 2026-02-15
MakerMistral AIQwen
WeightsOpen weightsNo public weights listed
ReleasedJune 20, 2025February 16, 2026
Context window256K1M
Input $/Mtok$0.10$0.26
Output $/Mtok$0.30$1.56
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 Qwen3.5 Plus 2026-02-15 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 5.2x cheaper ($0.30 vs $1.56 per million) and work measured by Design Arena: websites or Design Arena: UI components, where it leads.

Which is cheaper, Mistral Small 3.2 24B or Qwen3.5 Plus 2026-02-15?

Mistral Small 3.2 24B costs $0.10 per million input tokens and $0.30 per million output tokens; Qwen3.5 Plus 2026-02-15 costs $0.26 and $1.56. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Small 3.2 24B or Qwen3.5 Plus 2026-02-15?

Qwen3.5 Plus 2026-02-15, with 1M tokens against 256K.

How many benchmarks is the Mistral Small 3.2 24B vs Qwen3.5 Plus 2026-02-15 comparison based on?

5 benchmarks have a result for both models as of October 22, 2026. Mistral Small 3.2 24B's coding index rests on 0 independent benchmarks and Qwen3.5 Plus 2026-02-15's on 0. Where only one model has a result, the page says so instead of naming a winner.

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