Mistral Small 3.2 24B vs Qwen3.8 2.4T A95B

Mistral Small 3.2 24B costs 20.0x less per output token than Qwen3.8 2.4T A95B ($0.30 vs $6.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace Mistral Small 3.2 24B Replace Qwen3.8 2.4T A95B

Mistral Small 3.2 24BMistral AI

Coding: No data
Overall: No data
Output $/M: $0.30

Qwen3.8 2.4T A95BQwen

Coding: No data
Overall: No data
Output $/M: $6.00

vs $0.30 vs $6.00 per 1M output tokens. Mistral Small 3.2 24B is 20.0x cheaper.

Mistral Small 3.2 24B or Qwen3.8 2.4T A95B: 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 20.0x cheaper ($0.30 vs $6.00 per million).

Model AMistral Small 3.2 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved task Model BQwen3.8 2.4T A95BQwenNot 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; Qwen3.8 2.4T A95B on AA Coding Index, SciCode and AA Intelligence Index. 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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Qwen3.8 2.4T A95B has a AA Intelligence Index result, 39.9.
Directional only
Agentic work
AA Agentic Index
No call
Only Qwen3.8 2.4T A95B has a AA Agentic Index result, 50.1.
Directional only
Web design
Design Arena: websites
No call
Only Mistral Small 3.2 24B has a Design Arena: websites result, 896.
Directional only
Long documents
Listed context window
Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B takes 1.05M tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Small 3.2 24B
Mistral Small 3.2 24B $0.0003, Qwen3.8 2.4T A95B $0.0050 per turn.
List prices

At a glance

Coding index: Mistral Small 3.2 24B not benchmarked, Qwen3.8 2.4T A95B 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 Qwen3.8 2.4T A95B $6.00 per million output tokens, 20.0x apart.
Context window: Mistral Small 3.2 24B takes 256K tokens, Qwen3.8 2.4T A95B 1.05M.

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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards measured

Coding benchmarks for Mistral Small 3.2 24B and Qwen3.8 2.4T A95B
Benchmark	Mistral Small 3.2 24B	Qwen3.8 2.4T A95B	Leader
AA Coding Index	Not measured	71.9	Only Qwen3.8 2.4T A95B measured
SciCode	Not measured	54.1%	Only Qwen3.8 2.4T A95B measured
Neither model has a result on the other 41 boards here

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured

Intelligence benchmarks for Mistral Small 3.2 24B and Qwen3.8 2.4T A95B
Benchmark	Mistral Small 3.2 24B	Qwen3.8 2.4T A95B	Leader
AA Intelligence Index	Not measured	39.9	Only Qwen3.8 2.4T A95B measured
Neither model has a result on the other 1 board here

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured

Agentic work benchmarks for Mistral Small 3.2 24B and Qwen3.8 2.4T A95B
Benchmark	Mistral Small 3.2 24B	Qwen3.8 2.4T A95B	Leader
AA Agentic Index	Not measured	50.1	Only Qwen3.8 2.4T A95B measured
MCP Atlas	Not measured	84.5%	Only Qwen3.8 2.4T A95B measured
Neither model has a result on the other 40 boards here

ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured

Reasoning benchmarks for Mistral Small 3.2 24B and Qwen3.8 2.4T A95B
Benchmark	Mistral Small 3.2 24B	Qwen3.8 2.4T A95B	Leader
GPQA Diamond (Artificial Analysis run)	Not measured	93.5%	Only Qwen3.8 2.4T A95B measured
Humanity's Last Exam (Artificial Analysis run)	Not measured	42.4%	Only Qwen3.8 2.4T A95B measured
Neither model has a result on the other 21 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured

Math benchmarks for Mistral Small 3.2 24B and Qwen3.8 2.4T A95B
Benchmark	Mistral Small 3.2 24B	Qwen3.8 2.4T A95B	Leader
MathArena	Not measured	31.6%	Only Qwen3.8 2.4T A95B measured
Neither model has a result on the other 13 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 Qwen3.8 2.4T A95B
Benchmark	Mistral Small 3.2 24B	Qwen3.8 2.4T A95B	Leader
Design Arena: websites	896	Not measured	Only Mistral Small 3.2 24B measured
Design Arena: UI components	904	Not measured	Only Mistral Small 3.2 24B measured
Design Arena: game dev	889	Not measured	Only Mistral Small 3.2 24B measured
Design Arena: data viz	929	Not measured	Only Mistral Small 3.2 24B measured
Design Arena: all code categories	907	Not measured	Only 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 index1 board measured

General benchmarks for Mistral Small 3.2 24B and Qwen3.8 2.4T A95B
Benchmark	Mistral Small 3.2 24B	Qwen3.8 2.4T A95B	Leader
Long context reasoning (AA-LCR)	Not measured	80.3%	Only Qwen3.8 2.4T A95B measured
Neither model has a result on the other 47 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

Qwen3.8 2.4T A95B$0.0050Fits 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

Qwen3.8 2.4T A95B$0.118Fits 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

Qwen3.8 2.4T A95B$0.460Fits 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 Qwen3.8 2.4T A95B
Specification	Mistral Small 3.2 24B	Qwen3.8 2.4T A95B
Maker	Mistral AI	Qwen
Weights	Open weights	Open weights
Released	June 20, 2025	August 12, 2026
Context window	256K	1.05M
Input $/Mtok	$0.10	$2.00
Output $/Mtok	$0.30	$6.00
Coding index	Not benchmarked	Not benchmarked
Independent measurements behind it	0	0
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Mistral Small 3.2 24B better than Qwen3.8 2.4T A95B 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 20.0x cheaper ($0.30 vs $6.00 per million).

Which is cheaper, Mistral Small 3.2 24B or Qwen3.8 2.4T A95B?

Mistral Small 3.2 24B costs $0.10 per million input tokens and $0.30 per million output tokens; Qwen3.8 2.4T A95B costs $2.00 and $6.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Small 3.2 24B or Qwen3.8 2.4T A95B?

Qwen3.8 2.4T A95B, with 1.05M tokens against 256K.

Has any benchmark tested both Mistral Small 3.2 24B and Qwen3.8 2.4T A95B?

Mistral Small 3.2 24B or Qwen3.8 2.4T A95B: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Web design

Long documents

Everyday cost

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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