Mistral Small 4 vs Solar Pro 3
Mistral Small 4 leads Solar Pro 3 on the Artificial Analysis Intelligence Index, 11.3 to 7.8, at about the same output price ($0.60 vs $0.60 per million). Updated October 22, 2026; 10 benchmarks have a result for both.
Mistral Small 4 or Solar Pro 3: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Mistral Small 4 for a larger context window (262K against 131K tokens) and work measured by AA Agentic Index or τ²-Bench Telecom, where it leads.
- Shared results
- 10
- Mistral Small 4 only
- 5
- Solar Pro 3 only
- 0
- Like-for-like categories
- 5 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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
Mistral Small 4
Mistral Small 4 leads, 11.3 against 7.8.
Same board, both measured
Agentic work
AA Agentic Index
Solar Pro 3
Solar Pro 3 leads, 1.4 against 0.8.
Same board, both measured
Long documents
Listed context window
Mistral Small 4
Mistral Small 4 takes 262K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
No call
Mistral Small 4 $0.0004, Solar Pro 3 $0.0004 per turn.
List prices
At a glance
- Coding index
- Mistral Small 4 not benchmarked, Solar Pro 3 not benchmarked.
- Widest category
- Agentic work, 22.8 points apart on average over 2 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: Mistral Small 4 41.2% against Solar Pro 3 86.3%, 45.0 points apart on a 0 to 100 scale.
- Output price
- Both cost $0.60 per million output tokens.
- Context window
- Mistral Small 4 takes 262K tokens, Solar Pro 3 131K.
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 4 | Bars | Solar Pro 3 | Ties |
|---|---|---|---|---|
| Coding | 3 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 1 | 1 | ||
| General | 1 | 1 | ||
| All shared boards | 6 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
| Benchmark | Mistral Small 4 | Solar Pro 3 | Leader |
|---|---|---|---|
| AA Coding Index | 26.6 | 16.2 | Mistral Small 4 |
| Vibe Code Bench (Vals AI) | 0.0% | Not measured | Only Mistral Small 4 measured |
| SciCode | 38.8% | 25.5% | Mistral Small 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 17.4% | 7.6% | Mistral Small 4 |
| ALE-Bench | 497.6 | Not measured | Only Mistral Small 4 measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Mistral Small 4 | Solar Pro 3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 11.3 | 7.8 | Mistral Small 4 |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Small 4 | Solar Pro 3 | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | 1.4 | Solar Pro 3 |
| τ²-Bench Telecom | 41.2% | 86.3% | Solar Pro 3 |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Mistral Small 4 | Solar Pro 3 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 76.9% | 72.4% | Mistral Small 4 |
| Humanity's Last Exam (Artificial Analysis run) | 9.9% | 10.3% | Solar Pro 3 |
| Kagi LLM Benchmark | 40.5% | Not measured | Only Mistral Small 4 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 4 | Solar Pro 3 | 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 4 | Solar Pro 3 | Leader |
|---|---|---|---|
| Neither model has a result on 18 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Small 4 | Solar Pro 3 | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Mistral Small 4 | Solar Pro 3 | Leader |
|---|---|---|---|
| IFBench | 48.2% | 71.2% | Solar Pro 3 |
| Long context reasoning (AA-LCR) | 49.7% | 32.3% | Mistral Small 4 |
| DTBench | 70.9% | Not measured | Only Mistral Small 4 measured |
| LMCA | 20.6% | Not measured | Only Mistral Small 4 measured |
| Neither model has a result on the other 42 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Small 4 | Solar Pro 3 | 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
Same cost
Repository review
50K input + 3K output tokens
Same cost
Agent loop
200K input + 10K output tokens
Same cost
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 4 | Upstage Solar Pro 3 |
|---|---|---|
| Maker | Mistral AI | Upstage |
| Weights | Open weights | No public weights listed |
| Released | March 16, 2026 | January 27, 2026 |
| Context window | 262K | 131K |
| Input $/Mtok | $0.15 | $0.15 |
| Output $/Mtok | $0.60 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Small 4 better than Solar Pro 3 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Small 4 for a larger context window (262K against 131K tokens) and work measured by AA Agentic Index or τ²-Bench Telecom, where it leads.
Which is cheaper, Mistral Small 4 or Solar Pro 3?
Mistral Small 4 costs $0.15 per million input tokens and $0.60 per million output tokens; Solar Pro 3 costs $0.15 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Small 4 or Solar Pro 3?
Mistral Small 4, with 262K tokens against 131K.
How many benchmarks is the Mistral Small 4 vs Solar Pro 3 comparison based on?
10 benchmarks have a result for both models as of October 22, 2026. Mistral Small 4's coding index rests on 1 independent benchmark and Solar Pro 3's on 0. Where only one model has a result, the page says so instead of naming a winner.