Mistral Small 3.2 24B vs Step 3.7 Flash
Updated October 21, 2026. 5 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Mistral Small 3.2 24B has the edge where output tokens cost 3.8x less, and where what matters is Design Arena: websites or Design Arena: UI components, where it leads.
- Shared results
- 5
- Mistral Small 3.2 24B only
- 0
- Step 3.7 Flash only
- 13
- Like-for-like categories
- 1 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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 Step 3.7 Flash has a AA Intelligence Index result, 19.5.
Directional only
Web design
Design Arena: websites
Step 3.7 Flash
Step 3.7 Flash leads, 1196 against 896.
Same board, both measured
Long documents
Listed context window
Step 3.7 Flash
Step 3.7 Flash takes 262K 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, Step 3.7 Flash $0.0008 per turn.
List prices
At a glance
- Coding index
- Mistral Small 3.2 24B not benchmarked, Step 3.7 Flash not benchmarked.
- Widest category
- Web design, 34.0 points apart on average over 5 shared benchmarks.
- Widest single gap
- Design Arena: websites: Mistral Small 3.2 24B 896 against Step 3.7 Flash 1196, 37.5 points apart on a 0 to 100 scale.
- Output price
- Mistral Small 3.2 24B $0.30 against Step 3.7 Flash $1.15 per million output tokens, 3.8x apart.
- Context window
- Mistral Small 3.2 24B takes 256K tokens, Step 3.7 Flash 262K.
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.
| Category | Mistral Small 3.2 24B | Bars | Step 3.7 Flash | Ties |
|---|---|---|---|---|
| Web design | 0 | 5 | ||
| All shared boards | 0 | 5 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards, none shared
| Benchmark | Mistral Small 3.2 24B | Step 3.7 Flash | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 39.6 | Only Step 3.7 Flash measured |
| SciCode | Not measured | 43.9% | Only Step 3.7 Flash measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 35.6% | Only Step 3.7 Flash measured |
| ALE-Bench | Not measured | 694.1 | Only Step 3.7 Flash measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Mistral Small 3.2 24B | Step 3.7 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 19.5 | Only Step 3.7 Flash measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Mistral Small 3.2 24B | Step 3.7 Flash | Leader |
|---|---|---|---|
| τ²-Bench Telecom | Not measured | 98.5% | Only Step 3.7 Flash measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Mistral Small 3.2 24B | Step 3.7 Flash | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 80.9% | Only Step 3.7 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 21.4% | Only Step 3.7 Flash measured |
| Neither model has a result on the other 19 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Small 3.2 24B | Step 3.7 Flash | Leader |
|---|---|---|---|
| Neither model has a result on 13 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Small 3.2 24B | Step 3.7 Flash | Leader |
|---|---|---|---|
| Neither model has a result on 17 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Mistral Small 3.2 24B | Step 3.7 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 896 | 1196 | Step 3.7 Flash |
| Design Arena: UI components | 907 | 1179 | Step 3.7 Flash |
| Design Arena: game dev | 888 | 1158 | Step 3.7 Flash |
| Design Arena: data viz | 929 | 1172 | Step 3.7 Flash |
| Design Arena: 3D | Not measured | 1129 | Only Step 3.7 Flash measured |
| Design Arena: all code categories | 907 | 1182 | Step 3.7 Flash |
| Design Arena: SVG | Not measured | 1085 | Only Step 3.7 Flash measured |
| Design Arena: ASCII art | Not measured | 1152 | Only Step 3.7 Flash measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Mistral Small 3.2 24B | Step 3.7 Flash | Leader |
|---|---|---|---|
| IFBench | Not measured | 67.3% | Only Step 3.7 Flash measured |
| Long context reasoning (AA-LCR) | Not measured | 73.7% | Only Step 3.7 Flash measured |
| Neither model has a result on the other 44 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Small 3.2 24B | Step 3.7 Flash | 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 3.2 24B costs less
Repository review
50K input + 3K output tokens
Mistral Small 3.2 24B costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | Mistral Small 3.2 24B | StepFun Step 3.7 Flash |
|---|---|---|
| Maker | Mistral AI | StepFun |
| Weights | Open weights | Open weights |
| Released | June 20, 2025 | May 28, 2026 |
| Context window | 256K | 262K |
| Input $/Mtok | $0.10 | $0.20 |
| Output $/Mtok | $0.30 | $1.15 |
| 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 Step 3.7 Flash for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Mistral Small 3.2 24B has the edge where output tokens cost 3.8x less, and where what matters is Design Arena: websites or Design Arena: UI components, where it leads.
Which is cheaper, Mistral Small 3.2 24B or Step 3.7 Flash?
Mistral Small 3.2 24B costs $0.10 per million input tokens and $0.30 per million output tokens; Step 3.7 Flash costs $0.20 and $1.15. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Small 3.2 24B or Step 3.7 Flash?
Step 3.7 Flash, with 262K tokens against 256K.
How many benchmarks is the Mistral Small 3.2 24B vs Step 3.7 Flash comparison based on?
5 benchmarks have a result for both models as of October 21, 2026. Mistral Small 3.2 24B's coding index rests on 0 independent benchmarks and Step 3.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.