Mistral Large 3 2512 vs Saba
Updated October 21, 2026. 1 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 Large 3 2512 has the edge where the context window is larger, 262K against 33K tokens.
- Shared results
- 1
- Mistral Large 3 2512 only
- 27
- Saba only
- 3
- 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
Mistral Large 3 2512
Mistral Large 3 2512 leads, 9.3 against 6.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Mistral Large 3 2512 has a AA Agentic Index result, 1.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Mistral Large 3 2512 has a GPQA Diamond result, 68.4%.
Directional only
Math
AIME
No call
Only Mistral Large 3 2512 has a AIME result, 42.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Mistral Large 3 2512 has a MMLU Pro result, 79.8%.
Directional only
Web design
Design Arena: websites
No call
Only Mistral Large 3 2512 has a Design Arena: websites result, 1162.
Directional only
Long documents
Listed context window
Mistral Large 3 2512
Mistral Large 3 2512 takes 262K tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Saba
Mistral Large 3 2512 $0.0013, Saba $0.0005 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Mistral Large 3 2512 has the number, $0.77.
Directional only
At a glance
- Coding index
- Mistral Large 3 2512 not benchmarked, Saba not benchmarked.
- Widest category
- Intelligence, 2.8 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Intelligence Index: Mistral Large 3 2512 9.3 against Saba 6.5, 2.8 points apart on a 0 to 100 scale.
- Output price
- Mistral Large 3 2512 $1.50 against Saba $0.60 per million output tokens, 2.5x apart.
- Context window
- Mistral Large 3 2512 takes 262K tokens, Saba 33K.
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 Large 3 2512 | Bars | Saba | Ties |
|---|---|---|---|---|
| Intelligence | 1 | 0 | ||
| All shared boards | 1 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards, none shared
| Benchmark | Mistral Large 3 2512 | Saba | Leader |
|---|---|---|---|
| AA Coding Index | 20.1 | Not measured | Only Mistral Large 3 2512 measured |
| LiveCodeBench (Vals AI) | 55.3% | Not measured | Only Mistral Large 3 2512 measured |
| SWE-bench Verified (Vals AI) | 41.4% | Not measured | Only Mistral Large 3 2512 measured |
| ALE-Bench | 264.7 | Not measured | Only Mistral Large 3 2512 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 Large 3 2512 | Saba | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.3 | 6.5 | Mistral Large 3 2512 |
| 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 Large 3 2512 | Saba | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Mistral Large 3 2512 measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Mistral Large 3 2512 | Saba | Leader |
|---|---|---|---|
| GPQA Diamond | 68.4% | Not measured | Only Mistral Large 3 2512 measured |
| MMMU Pro (Vals AI) | 66.2% | Not measured | Only Mistral Large 3 2512 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 42.4% | Only Saba measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 4.3% | Only Saba measured |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Mistral Large 3 2512 | Saba | Leader |
|---|---|---|---|
| AIME | 42.9% | Not measured | Only Mistral Large 3 2512 measured |
| MGSM (Vals AI) | 85.4% | Not measured | Only Mistral Large 3 2512 measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Mistral Large 3 2512 | Saba | Leader |
|---|---|---|---|
| MMLU Pro | 79.8% | Not measured | Only Mistral Large 3 2512 measured |
| LegalBench (Vals AI) | 79.1% | Not measured | Only Mistral Large 3 2512 measured |
| CaseLaw (Vals AI) | 61.4% | Not measured | Only Mistral Large 3 2512 measured |
| CorpFin (Vals AI) | 61.0% | Not measured | Only Mistral Large 3 2512 measured |
| TaxEval (Vals AI) | 73.1% | Not measured | Only Mistral Large 3 2512 measured |
| MortgageTax (Vals AI) | 52.1% | Not measured | Only Mistral Large 3 2512 measured |
| MedQA (Vals AI) | 82.2% | Not measured | Only Mistral Large 3 2512 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 61.1% | Only Saba measured |
| Neither model has a result on the other 9 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Mistral Large 3 2512 | Saba | Leader |
|---|---|---|---|
| Design Arena: websites | 1162 | Not measured | Only Mistral Large 3 2512 measured |
| Design Arena: UI components | 1102 | Not measured | Only Mistral Large 3 2512 measured |
| Design Arena: game dev | 1080 | Not measured | Only Mistral Large 3 2512 measured |
| Design Arena: data viz | 1136 | Not measured | Only Mistral Large 3 2512 measured |
| Design Arena: 3D | 1099 | Not measured | Only Mistral Large 3 2512 measured |
| Design Arena: all code categories | 1142 | Not measured | Only Mistral Large 3 2512 measured |
| Design Arena: SVG | 993 | Not measured | Only Mistral Large 3 2512 measured |
| Design Arena: ASCII art | 1069 | Not measured | Only Mistral Large 3 2512 measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Mistral Large 3 2512 | Saba | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 24.6% | Not measured | Only Mistral Large 3 2512 measured |
| DTBench | 65.1% | Not measured | Only Mistral Large 3 2512 measured |
| LMCA | 16.7% | Not measured | Only Mistral Large 3 2512 measured |
| Neither model has a result on the other 43 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large 3 2512 | Saba | 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
Saba costs less
Repository review
50K input + 3K output tokens
Saba costs less
Agent loop
200K input + 10K output tokens
Saba 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 Large 3 2512 | Mistral Saba |
|---|---|---|
| Maker | Mistral AI | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | December 1, 2025 | February 17, 2025 |
| Context window | 262K | 33K |
| Input $/Mtok | $0.50 | $0.20 |
| Output $/Mtok | $1.50 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | $0.77 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Large 3 2512 better than Saba for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Mistral Large 3 2512 has the edge where the context window is larger, 262K against 33K tokens.
Which is cheaper, Mistral Large 3 2512 or Saba?
Mistral Large 3 2512 costs $0.50 per million input tokens and $1.50 per million output tokens; Saba costs $0.20 and $0.60. Cost per solved task is known for Mistral Large 3 2512 only.
Which has the bigger context window, Mistral Large 3 2512 or Saba?
Mistral Large 3 2512, with 262K tokens against 33K.
How many benchmarks is the Mistral Large 3 2512 vs Saba comparison based on?
1 benchmarks have a result for both models as of October 21, 2026. Mistral Large 3 2512's coding index rests on 1 independent benchmark and Saba's on 0. Where only one model has a result, the page says so instead of naming a winner.