GPT-5 Pro vs Ministral 3 8B 2512
Ministral 3 8B 2512 costs 800.0x less per output token than GPT-5 Pro ($0.15 vs $120.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $120.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.15
GPT-5 Pro or Ministral 3 8B 2512: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-5 Pro for a larger context window (400K against 262K tokens).
No benchmark has tested both yet. GPT-5 Pro has results on WeirdML, Epoch Capabilities Index and ARC-AGI; Ministral 3 8B 2512 on AA Coding Index, AA Intelligence Index and AA Agentic Index. 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 Ministral 3 8B 2512 has a AA Intelligence Index result, 5.5.
Directional only
Agentic work
AA Agentic Index
No call
Only Ministral 3 8B 2512 has a AA Agentic Index result, 0.6.
Directional only
Web design
Design Arena: websites
No call
Only Ministral 3 8B 2512 has a Design Arena: websites result, 1065.
Directional only
Long documents
Listed context window
GPT-5 Pro
GPT-5 Pro takes 400K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Ministral 3 8B 2512
GPT-5 Pro $0.075, Ministral 3 8B 2512 $0.0002 per turn.
List prices
At a glance
- Coding index
- GPT-5 Pro not benchmarked, Ministral 3 8B 2512 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 Pro $120.00 against Ministral 3 8B 2512 $0.15 per million output tokens, 800.0x apart.
- Context window
- GPT-5 Pro takes 400K tokens, Ministral 3 8B 2512 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 Index2 boards measured
| Benchmark | GPT-5 Pro | Ministral 3 8B 2512 | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 9.7 | Only Ministral 3 8B 2512 measured |
| WeirdML | 60.4% | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 41 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | GPT-5 Pro | Ministral 3 8B 2512 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 5.5 | Only Ministral 3 8B 2512 measured |
| Epoch Capabilities Index | 150.6 | Not measured | Only GPT-5 Pro measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-5 Pro | Ministral 3 8B 2512 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 0.6 | Only Ministral 3 8B 2512 measured |
| Neither model has a result on the other 41 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | GPT-5 Pro | Ministral 3 8B 2512 | Leader |
|---|---|---|---|
| ARC-AGI | 70.2% | Not measured | Only GPT-5 Pro measured |
| ARC-AGI-2 | 18.3% | Not measured | Only GPT-5 Pro measured |
| SimpleBench | 61.6% | Not measured | Only GPT-5 Pro measured |
| Chess puzzles | 48.0% | Not measured | Only GPT-5 Pro measured |
| Kagi LLM Benchmark | 76.8% | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | GPT-5 Pro | Ministral 3 8B 2512 | Leader |
|---|---|---|---|
| FrontierMath, tiers 1 to 3 | 55.8% | Not measured | Only GPT-5 Pro measured |
| FrontierMath, tier 4 | 19.5% | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | GPT-5 Pro | Ministral 3 8B 2512 | Leader |
|---|---|---|---|
| PRBench Finance | 51.1% | Not measured | Only GPT-5 Pro measured |
| PRBench Legal | 49.9% | Not measured | Only GPT-5 Pro measured |
| Neither model has a result on the other 18 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | GPT-5 Pro | Ministral 3 8B 2512 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1065 | Only Ministral 3 8B 2512 measured |
| Design Arena: game dev | Not measured | 990 | Only Ministral 3 8B 2512 measured |
| Design Arena: 3D | Not measured | 1031 | Only Ministral 3 8B 2512 measured |
| Design Arena: all code categories | Not measured | 1052 | Only Ministral 3 8B 2512 measured |
| Neither model has a result on the other 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
Ministral 3 8B 2512 costs less
Repository review
50K input + 3K output tokens
Ministral 3 8B 2512 costs less
Agent loop
200K input + 10K output tokens
Ministral 3 8B 2512 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 Pro | Mistral Ministral 3 8B 2512 |
|---|---|---|
| Maker | OpenAI | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | October 6, 2025 | December 2, 2025 |
| Context window | 400K | 262K |
| Input $/Mtok | $15.00 | $0.15 |
| Output $/Mtok | $120.00 | $0.15 |
| 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 GPT-5 Pro better than Ministral 3 8B 2512 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5 Pro for a larger context window (400K against 262K tokens).
Which is cheaper, GPT-5 Pro or Ministral 3 8B 2512?
GPT-5 Pro costs $15.00 per million input tokens and $120.00 per million output tokens; Ministral 3 8B 2512 costs $0.15 and $0.15. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-5 Pro or Ministral 3 8B 2512?
GPT-5 Pro, with 400K tokens against 262K.
Has any benchmark tested both GPT-5 Pro and Ministral 3 8B 2512?
No benchmark has tested both yet. GPT-5 Pro has results on WeirdML, Epoch Capabilities Index and ARC-AGI; Ministral 3 8B 2512 on AA Coding Index, AA Intelligence Index and AA Agentic Index. Compare them on price and context instead. Data as of October 22, 2026.