GPT-5 Image Mini vs Mistral Small 3.2 24B
Mistral Small 3.2 24B costs 6.7x less per output token than GPT-5 Image Mini ($0.30 vs $2.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $2.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.30
GPT-5 Image Mini or Mistral Small 3.2 24B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-5 Image Mini for a larger context window (400K against 256K tokens).
No benchmark has tested both yet. GPT-5 Image Mini has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; Mistral Small 3.2 24B on Design Arena: websites, Design Arena: UI components and Design Arena: game dev. 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
Web design
Design Arena: websites
No call
Only Mistral Small 3.2 24B has a Design Arena: websites result, 896.
Directional only
Image generation
Design Arena: images
No call
Only GPT-5 Image Mini has a Design Arena: images result, 1184.
Directional only
Long documents
Listed context window
GPT-5 Image Mini
GPT-5 Image Mini takes 400K tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Small 3.2 24B
GPT-5 Image Mini $0.0035, Mistral Small 3.2 24B $0.0003 per turn.
List prices
At a glance
- Coding index
- GPT-5 Image Mini not benchmarked, Mistral Small 3.2 24B 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
- GPT-5 Image Mini $2.00 against Mistral Small 3.2 24B $0.30 per million output tokens, 6.7x apart.
- Context window
- GPT-5 Image Mini takes 400K tokens, Mistral Small 3.2 24B 256K.
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.
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | GPT-5 Image Mini | Mistral Small 3.2 24B | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 896 | Only Mistral Small 3.2 24B measured |
| Design Arena: UI components | Not measured | 907 | Only Mistral Small 3.2 24B measured |
| Design Arena: game dev | Not measured | 888 | Only Mistral Small 3.2 24B measured |
| Design Arena: data viz | Not measured | 929 | Only Mistral Small 3.2 24B measured |
| Design Arena: all code categories | Not measured | 907 | Only Mistral Small 3.2 24B measured |
| Neither model has a result on the other 4 boards here | |||
Image generationDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | GPT-5 Image Mini | Mistral Small 3.2 24B | Leader |
|---|---|---|---|
| Design Arena: images | 1184 | Not measured | Only GPT-5 Image Mini measured |
| Design Arena: graphic design | 1165 | Not measured | Only GPT-5 Image Mini measured |
| Design Arena: logos | 1209 | Not measured | Only GPT-5 Image Mini measured |
| Neither model has a result on the other 2 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 | OpenAI GPT-5 Image Mini | Mistral Small 3.2 24B |
|---|---|---|
| Maker | OpenAI | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | October 16, 2025 | June 20, 2025 |
| Context window | 400K | 256K |
| Input $/Mtok | $2.50 | $0.10 |
| Output $/Mtok | $2.00 | $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 GPT-5 Image Mini better than Mistral Small 3.2 24B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5 Image Mini for a larger context window (400K against 256K tokens).
Which is cheaper, GPT-5 Image Mini or Mistral Small 3.2 24B?
GPT-5 Image Mini costs $2.50 per million input tokens and $2.00 per million output tokens; Mistral Small 3.2 24B costs $0.10 and $0.30. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-5 Image Mini or Mistral Small 3.2 24B?
GPT-5 Image Mini, with 400K tokens against 256K.
Has any benchmark tested both GPT-5 Image Mini and Mistral Small 3.2 24B?
No benchmark has tested both yet. GPT-5 Image Mini has results on Design Arena: images, Design Arena: graphic design and Design Arena: logos; Mistral Small 3.2 24B on Design Arena: websites, Design Arena: UI components and Design Arena: game dev. Compare them on price and context instead. Data as of October 21, 2026.