Qwen3 235B A22B Thinking 2507 vs Voxtral Small 24B 2507
Voxtral Small 24B 2507 costs 11.7x less per output token than Qwen3 235B A22B Thinking 2507 ($0.30 vs $3.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- 52.9
- Output $/M
- $3.50
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.30
Qwen3 235B A22B Thinking 2507 or Voxtral Small 24B 2507: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3 235B A22B Thinking 2507 for a larger context window (128K against 33K tokens).
No benchmark has tested both yet. Qwen3 235B A22B Thinking 2507 has results on AA Coding Index, WeirdML and LMArena Text: coding; Voxtral Small 24B 2507 has none yet. 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 235B A22B Thinking 2507 has a AA Intelligence Index result, 12.7.
Directional only
Agentic work
AA Agentic Index
No call
Only Qwen3 235B A22B Thinking 2507 has a AA Agentic Index result, 1.3.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3 235B A22B Thinking 2507 has a Design Arena: websites result, 1052.
Directional only
Long documents
Listed context window
Qwen3 235B A22B Thinking 2507
Qwen3 235B A22B Thinking 2507 takes 128K tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Voxtral Small 24B 2507
Qwen3 235B A22B Thinking 2507 $0.0022, Voxtral Small 24B 2507 $0.0003 per turn.
List prices
At a glance
- Coding index
- Qwen3 235B A22B Thinking 2507 not benchmarked, Voxtral Small 24B 2507 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
- Qwen3 235B A22B Thinking 2507 $3.50 against Voxtral Small 24B 2507 $0.30 per million output tokens, 11.7x apart.
- Context window
- Qwen3 235B A22B Thinking 2507 takes 128K tokens, Voxtral Small 24B 2507 33K.
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 Index4 boards measured
| Benchmark | Qwen3 235B A22B Thinking 2507 | Voxtral Small 24B 2507 | Leader |
|---|---|---|---|
| AA Coding Index | 22.1 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| WeirdML | 41.0% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: coding | 1424 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: software and IT | 1431 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 39 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Qwen3 235B A22B Thinking 2507 | Voxtral Small 24B 2507 | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.7 | Not measured | Only Qwen3 235B A22B Thinking 2507 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
| Benchmark | Qwen3 235B A22B Thinking 2507 | Voxtral Small 24B 2507 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.3 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Vending-Bench 2 | -$11 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Qwen3 235B A22B Thinking 2507 | Voxtral Small 24B 2507 | Leader |
|---|---|---|---|
| GPQA Diamond (Epoch AI run) | 80.1% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Mystery game puzzles | 9.0% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: hard prompts | 1416 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: expert | 1463 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: hard prompts in English | 1432 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Qwen3 235B A22B Thinking 2507 | Voxtral Small 24B 2507 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 86.7% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: math | 1412 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: mathematical work | 1435 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Qwen3 235B A22B Thinking 2507 | Voxtral Small 24B 2507 | Leader |
|---|---|---|---|
| SimpleQA Verified | 40.4% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: science | 1433 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: medicine and healthcare | 1456 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: legal and government | 1415 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: business and finance | 1413 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 15 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
| Benchmark | Qwen3 235B A22B Thinking 2507 | Voxtral Small 24B 2507 | Leader |
|---|---|---|---|
| Design Arena: websites | 1052 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: UI components | 942 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: game dev | 956 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: data viz | 950 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: 3D | 997 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: all code categories | 1032 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 3 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index20 boards measured
| Benchmark | Qwen3 235B A22B Thinking 2507 | Voxtral Small 24B 2507 | Leader |
|---|---|---|---|
| DTBench | 80.3% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMCA | 29.3% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Fiction.LiveBench | 75.0% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Creative writing (Lech Mazur) | 82.4% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text | 1415 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: instruction following | 1386 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: creative writing | 1384 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: English | 1429 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: non-English | 1397 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: Chinese | 1481 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: German | 1408 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: Japanese | 1386 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: Korean | 1375 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: Spanish | 1389 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: Russian | 1401 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: Polish | 1390 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: multi-turn | 1406 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: longer queries | 1400 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: writing and language | 1388 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: entertainment and media | 1370 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 28 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
Voxtral Small 24B 2507 costs less
Repository review
50K input + 3K output tokens
Voxtral Small 24B 2507 costs less
Agent loop
200K input + 10K output tokens
Voxtral Small 24B 2507 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 | Qwen3 235B A22B Thinking 2507 | Mistral Voxtral Small 24B 2507 |
|---|---|---|
| Maker | Qwen | Mistral AI |
| Weights | Open weights | Open weights |
| Released | July 25, 2025 | October 30, 2025 |
| Context window | 128K | 33K |
| Input $/Mtok | $0.45 | $0.10 |
| Output $/Mtok | $3.50 | $0.30 |
| 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 Qwen3 235B A22B Thinking 2507 better than Voxtral Small 24B 2507 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3 235B A22B Thinking 2507 for a larger context window (128K against 33K tokens).
Which is cheaper, Qwen3 235B A22B Thinking 2507 or Voxtral Small 24B 2507?
Qwen3 235B A22B Thinking 2507 costs $0.45 per million input tokens and $3.50 per million output tokens; Voxtral Small 24B 2507 costs $0.10 and $0.30. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3 235B A22B Thinking 2507 or Voxtral Small 24B 2507?
Qwen3 235B A22B Thinking 2507, with 128K tokens against 33K.
Has any benchmark tested both Qwen3 235B A22B Thinking 2507 and Voxtral Small 24B 2507?
No benchmark has tested both yet. Qwen3 235B A22B Thinking 2507 has results on AA Coding Index, WeirdML and LMArena Text: coding; Voxtral Small 24B 2507 has none yet. Compare them on price and context instead. Data as of October 22, 2026.