Mistral Small 3.1 24B vs Qwen3.6 35B A3B
Mistral Small 3.1 24B costs 1.8x less per output token than Qwen3.6 35B A3B ($0.555 vs $1.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.555
- Coding
- No data
- Overall
- 45.0
- Output $/M
- $1.00
Mistral Small 3.1 24B or Qwen3.6 35B A3B: 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 1.8x cheaper ($0.555 vs $1.00 per million).
No benchmark has tested both yet. Mistral Small 3.1 24B has results on LMArena Text: coding, LMArena Text: software and IT and LMArena Text: hard prompts; Qwen3.6 35B A3B on AA Coding Index, SciCode and Terminal-Bench Hard (Artificial Analysis run). 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 Qwen3.6 35B A3B has a AA Intelligence Index result, 18.2.
Directional only
Agentic work
AA Agentic Index
No call
Only Qwen3.6 35B A3B has a AA Agentic Index result, 13.1.
Directional only
Long documents
Listed context window
Qwen3.6 35B A3B
Qwen3.6 35B A3B takes 262K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.6 35B A3B
Mistral Small 3.1 24B $0.0006, Qwen3.6 35B A3B $0.0006 per turn.
List prices
At a glance
- Coding index
- Mistral Small 3.1 24B not benchmarked, Qwen3.6 35B A3B 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 3.1 24B $0.555 against Qwen3.6 35B A3B $1.00 per million output tokens, 1.8x apart.
- Context window
- Mistral Small 3.1 24B takes 128K tokens, Qwen3.6 35B A3B 262K.
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 Index7 boards measured
| Benchmark | Mistral Small 3.1 24B | Qwen3.6 35B A3B | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 41.9 | Only Qwen3.6 35B A3B measured |
| SciCode | Not measured | 36.6% | Only Qwen3.6 35B A3B measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 34.8% | Only Qwen3.6 35B A3B measured |
| Terminal-Bench | Not measured | 24.6% | Only Qwen3.6 35B A3B measured |
| WeirdML | Not measured | 34.5% | Only Qwen3.6 35B A3B measured |
| LMArena Text: coding | 1309 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: software and IT | 1301 | Not measured | Only Mistral Small 3.1 24B measured |
| Neither model has a result on the other 36 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Mistral Small 3.1 24B | Qwen3.6 35B A3B | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 18.2 | Only Qwen3.6 35B A3B measured |
| Epoch Capabilities Index | Not measured | 143.7 | Only Qwen3.6 35B A3B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Mistral Small 3.1 24B | Qwen3.6 35B A3B | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 13.1 | Only Qwen3.6 35B A3B measured |
| τ²-Bench Telecom | Not measured | 95.3% | Only Qwen3.6 35B A3B measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
| Benchmark | Mistral Small 3.1 24B | Qwen3.6 35B A3B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 84.1% | Only Qwen3.6 35B A3B measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 22.2% | Only Qwen3.6 35B A3B measured |
| GPQA Diamond (Epoch AI run) | Not measured | 84.8% | Only Qwen3.6 35B A3B measured |
| Mystery game puzzles | Not measured | 22.0% | Only Qwen3.6 35B A3B measured |
| LMArena Text: hard prompts | 1278 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: expert | 1257 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: hard prompts in English | 1290 | Not measured | Only Mistral Small 3.1 24B measured |
| 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 14 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Mistral Small 3.1 24B | Qwen3.6 35B A3B | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 86.7% | Only Qwen3.6 35B A3B measured |
| FrontierMath, tiers 1 to 3 | Not measured | 20.4% | Only Qwen3.6 35B A3B measured |
| LMArena Text: math | 1261 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: mathematical work | 1271 | Not measured | Only Mistral Small 3.1 24B measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Mistral Small 3.1 24B | Qwen3.6 35B A3B | Leader |
|---|---|---|---|
| LMArena Text: science | 1265 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: medicine and healthcare | 1267 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: legal and government | 1271 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: business and finance | 1257 | Not measured | Only Mistral Small 3.1 24B measured |
| Neither model has a result on the other 16 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index30 boards measured
| Benchmark | Mistral Small 3.1 24B | Qwen3.6 35B A3B | Leader |
|---|---|---|---|
| IFBench | Not measured | 64.4% | Only Qwen3.6 35B A3B measured |
| Long context reasoning (AA-LCR) | Not measured | 71.7% | Only Qwen3.6 35B A3B measured |
| DTBench | Not measured | 73.9% | Only Qwen3.6 35B A3B measured |
| LMCA | Not measured | 29.7% | Only Qwen3.6 35B A3B measured |
| Surface Evolver Bench | Not measured | 44.4% | Only Qwen3.6 35B A3B measured |
| LMArena Text | 1277 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: instruction following | 1263 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: creative writing | 1252 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Vision | 1136 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: English | 1295 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: non-English | 1255 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: Chinese | 1253 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: German | 1266 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: Japanese | 1208 | Not measured | Only Mistral Small 3.1 24B measured |
| 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 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: Polish | 1242 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: multi-turn | 1270 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: longer queries | 1299 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: writing and language | 1268 | Not measured | Only Mistral Small 3.1 24B measured |
| LMArena Text: entertainment and media | 1250 | Not measured | Only Mistral Small 3.1 24B measured |
| 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 18 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
Qwen3.6 35B A3B costs less
Repository review
50K input + 3K output tokens
Qwen3.6 35B A3B costs less
Agent loop
200K input + 10K output tokens
Qwen3.6 35B A3B 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.
| Specification | Mistral Small 3.1 24B | Qwen3.6 35B A3B |
|---|---|---|
| Maker | Mistral AI | Qwen |
| Weights | Open weights | Open weights |
| Released | March 17, 2025 | April 27, 2026 |
| Context window | 128K | 262K |
| Input $/Mtok | $0.351 | $0.10 |
| Output $/Mtok | $0.555 | $1.00 |
| 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 3.1 24B better than Qwen3.6 35B A3B 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 1.8x cheaper ($0.555 vs $1.00 per million).
Which is cheaper, Mistral Small 3.1 24B or Qwen3.6 35B A3B?
Mistral Small 3.1 24B costs $0.351 per million input tokens and $0.555 per million output tokens; Qwen3.6 35B A3B costs $0.10 and $1.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Small 3.1 24B or Qwen3.6 35B A3B?
Qwen3.6 35B A3B, with 262K tokens against 128K.
Has any benchmark tested both Mistral Small 3.1 24B and Qwen3.6 35B A3B?
No benchmark has tested both yet. Mistral Small 3.1 24B has results on LMArena Text: coding, LMArena Text: software and IT and LMArena Text: hard prompts; Qwen3.6 35B A3B on AA Coding Index, SciCode and Terminal-Bench Hard (Artificial Analysis run). Compare them on price and context instead. Data as of October 22, 2026.