Mistral Small 3.1 24B vs Qwen-Plus

Mistral Small 3.1 24B costs 1.4x less per output token than Qwen-Plus ($0.555 vs $0.78 per million). Updated October 21, 2026; 23 benchmarks have a result for both.

Replace Mistral Small 3.1 24B Replace Qwen-Plus

Mistral Small 3.1 24BMistral AI

Coding: No data
Overall: No data
Output $/M: $0.555

Qwen-PlusQwen

Coding: No data
Overall: No data
Output $/M: $0.78

vs boards won of 23 shared

Mistral Small 3.1 24B or Qwen-Plus: which to pick

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

Pick Mistral Small 3.1 24B for output tokens 1.4x cheaper ($0.555 vs $0.78 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AMistral Small 3.1 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved task Model BQwen-PlusQwenNot benchmarkedNo coding benchmarkNo cost per solved task

23155

Shared results: 23
Mistral Small 3.1 24B only: 15
Qwen-Plus only: 5
Like-for-like categories: 5 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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
Qwen-Plus
Qwen-Plus takes 1M tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Small 3.1 24B
Mistral Small 3.1 24B $0.0006, Qwen-Plus $0.0006 per turn.
List prices

At a glance

Coding index: Mistral Small 3.1 24B not benchmarked, Qwen-Plus not benchmarked.
Widest category: Knowledge, 12.3 points apart on average over 4 shared benchmarks.
Widest single gap: LMArena Text: Chinese: Mistral Small 3.1 24B 1253 against Qwen-Plus 1347, 15.7 points apart on a 0 to 100 scale.
Output price: Mistral Small 3.1 24B $0.555 against Qwen-Plus $0.78 per million output tokens, 1.4x apart.
Context window: Mistral Small 3.1 24B takes 128K tokens, Qwen-Plus 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
Category	Mistral Small 3.1 24B	Bars	Qwen-Plus	Ties
Coding	0		2
Reasoning	0		3
Math	0		2
Knowledge	0		4
General	0		12
All shared boards	0		23

CodingLike-for-likeSix of these boards feed the Vibe Coding Index02

Coding benchmarks for Mistral Small 3.1 24B and Qwen-Plus
Benchmark	Mistral Small 3.1 24B	Qwen-Plus	Leader
LMArena Text: coding	1309	1328	Qwen-Plus
LMArena Text: software and IT	1301	1343	Qwen-Plus
Neither model has a result on the other 37 boards here

IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Intelligence benchmarks for Mistral Small 3.1 24B and Qwen-Plus
Benchmark	Mistral Small 3.1 24B	Qwen-Plus	Leader
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 3.1 24B and Qwen-Plus
Benchmark	Mistral Small 3.1 24B	Qwen-Plus	Leader
Neither model has a result on 41 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index03

Reasoning benchmarks for Mistral Small 3.1 24B and Qwen-Plus
Benchmark	Mistral Small 3.1 24B	Qwen-Plus	Leader
GPQA Diamond (Epoch AI run)	Not measured	48.1%	Only Qwen-Plus measured
LMArena Text: hard prompts	1278	1317	Qwen-Plus
LMArena Text: expert	1257	1328	Qwen-Plus
LMArena Text: hard prompts in English	1290	1333	Qwen-Plus
LMArena Vision: diagrams	1119	Not measured	Only Mistral Small 3.1 24B measured
LMArena Vision: homework	1158	Not measured	Only Mistral Small 3.1 24B measured
Neither model has a result on the other 16 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index02

Math benchmarks for Mistral Small 3.1 24B and Qwen-Plus
Benchmark	Mistral Small 3.1 24B	Qwen-Plus	Leader
OTIS Mock AIME	Not measured	17.8%	Only Qwen-Plus measured
MATH level 5	Not measured	65.3%	Only Qwen-Plus measured
LMArena Text: math	1261	1326	Qwen-Plus
LMArena Text: mathematical work	1271	1332	Qwen-Plus
Neither model has a result on the other 9 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04

Knowledge benchmarks for Mistral Small 3.1 24B and Qwen-Plus
Benchmark	Mistral Small 3.1 24B	Qwen-Plus	Leader
LMArena Text: science	1265	1352	Qwen-Plus
LMArena Text: medicine and healthcare	1267	1350	Qwen-Plus
LMArena Text: legal and government	1271	1349	Qwen-Plus
LMArena Text: business and finance	1257	1303	Qwen-Plus
Neither model has a result on the other 14 boards here

Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Web design benchmarks for Mistral Small 3.1 24B and Qwen-Plus
Benchmark	Mistral Small 3.1 24B	Qwen-Plus	Leader
Neither model has a result on 9 boards here

GeneralLike-for-likePublic boards, shown as published, kept out of the index012

General benchmarks for Mistral Small 3.1 24B and Qwen-Plus
Benchmark	Mistral Small 3.1 24B	Qwen-Plus	Leader
DTBench	Not measured	81.1%	Only Qwen-Plus measured
LMCA	Not measured	24.0%	Only Qwen-Plus measured
LMArena Text	1277	1326	Qwen-Plus
LMArena Text: instruction following	1263	1303	Qwen-Plus
LMArena Text: creative writing	1252	1292	Qwen-Plus
LMArena Vision	1136	Not measured	Only Mistral Small 3.1 24B measured
LMArena Text: English	1295	1339	Qwen-Plus
LMArena Text: non-English	1255	1310	Qwen-Plus
LMArena Text: Chinese	1253	1347	Qwen-Plus
LMArena Text: German	1266	Not measured	Only Mistral Small 3.1 24B measured
LMArena Text: Japanese	1208	1251	Qwen-Plus
LMArena Text: Korean	1207	Not measured	Only Mistral Small 3.1 24B measured
LMArena Text: French	1273	Not measured	Only Mistral Small 3.1 24B measured
LMArena Text: Spanish	1284	Not measured	Only Mistral Small 3.1 24B measured
LMArena Text: Russian	1263	1323	Qwen-Plus
LMArena Text: Polish	1242	Not measured	Only Mistral Small 3.1 24B measured
LMArena Text: multi-turn	1270	1336	Qwen-Plus
LMArena Text: longer queries	1299	1324	Qwen-Plus
LMArena Text: writing and language	1268	1296	Qwen-Plus
LMArena Text: entertainment and media	1250	1270	Qwen-Plus
LMArena Vision: English	1157	Not measured	Only Mistral Small 3.1 24B measured
LMArena Vision: Chinese	1155	Not measured	Only Mistral Small 3.1 24B measured
LMArena Vision: reading text	1132	Not measured	Only Mistral Small 3.1 24B measured
LMArena Vision: humor	1142	Not measured	Only Mistral Small 3.1 24B measured
LMArena Vision: captioning	1153	Not measured	Only Mistral Small 3.1 24B measured
LMArena Vision: recognizing things	1155	Not measured	Only Mistral Small 3.1 24B measured
LMArena Vision: creative writing	1123	Not measured	Only Mistral Small 3.1 24B measured
Neither model has a result on the other 19 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Mistral Small 3.1 24B and Qwen-Plus
Benchmark	Mistral Small 3.1 24B	Qwen-Plus	Leader
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 3.1 24B$0.0006Fits in one request

Qwen-Plus$0.0006Fits in one request

Mistral Small 3.1 24B costs less

Repository review

50K input + 3K output tokens

Mistral Small 3.1 24B$0.019Fits in one request

Qwen-Plus$0.015Fits in one request

Qwen-Plus costs less

Agent loop

200K input + 10K output tokens

Mistral Small 3.1 24B$0.076Exceeds the context window

Qwen-Plus$0.060Fits in one request

Qwen-Plus 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 3.1 24B and Qwen-Plus
Specification	Mistral Small 3.1 24B	Qwen-Plus
Maker	Mistral AI	Qwen
Weights	Open weights	No public weights listed
Released	March 17, 2025	February 1, 2025
Context window	128K	1M
Input $/Mtok	$0.351	$0.26
Output $/Mtok	$0.555	$0.78
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 3.1 24B better than Qwen-Plus for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Small 3.1 24B for output tokens 1.4x cheaper ($0.555 vs $0.78 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Mistral Small 3.1 24B or Qwen-Plus?

Mistral Small 3.1 24B costs $0.351 per million input tokens and $0.555 per million output tokens; Qwen-Plus costs $0.26 and $0.78. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Small 3.1 24B or Qwen-Plus?

Qwen-Plus, with 1M tokens against 128K.

How many benchmarks is the Mistral Small 3.1 24B vs Qwen-Plus comparison based on?

23 benchmarks have a result for both models as of October 21, 2026. Mistral Small 3.1 24B's coding index rests on 0 independent benchmarks and Qwen-Plus's on 0. Where only one model has a result, the page says so instead of naming a winner.