Model comparison
Grok 4.3 vs Mistral Large 3
Grok 4.3 is the stronger model overall, scoring 43.8 to 39.1 on the Noometry Index. Mistral Large 3 costs 4.2× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Mistral AISummary
- They share 20 benchmarks with published results for both. Grok 4.3 scores higher in 4 categories and Mistral Large 3 in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.3 leads 35.9 to 15.2.
- The biggest single-benchmark swing is NYT Connections (extended): 55.2% for Grok 4.3 and 7.5% for Mistral Large 3.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
- Grok 4.3 accepts more context: 1M tokens versus 262K.
- Mistral Large 3 has downloadable open weights; the other is API-only.
Side by side
| Grok 4.3 | Mistral Large 3 | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 43.8 | 39.1 |
| Released | 2026-04-17 | 2025-12-02 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 30K | 8K |
| Input $ / M tokens | $1.25 | $0.25 |
| Output $ / M tokens | $2.50 | $0.75 |
| Results tracked | 40 | 24 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Grok 4.3 leads
Grok 4.3: 41.6 (#121), Mistral Large 3: 34.4 (#237)
| Benchmark | Grok 4.3 | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | 1357 | 1230 |
| LMArena Coding | 1415 | 1448 |
| SciCode | 47.3% | — |
| WeirdML | 49.9% | — |
| ALE-Bench | 944.17 | — |
Agentic & Tool Use Not comparable
Grok 4.3: 27.7 (#99), Mistral Large 3: —
| Benchmark | Grok 4.3 | Mistral Large 3 |
|---|---|---|
| GDP.pdf | 8% | — |
| LMArena Search | 1165 | — |
| Vending-Bench 2 | 35.26 | — |
Reasoning Grok 4.3 leads
Grok 4.3: 35.9 (#68), Mistral Large 3: 15.2 (#319)
| Benchmark | Grok 4.3 | Mistral Large 3 |
|---|---|---|
| NYT Connections (extended) | 55.2% | 7.5% |
| LMArena Hard Prompts | 1396 | 1429 |
| Kagi LLM Benchmark | — | 50.9% |
| CritPt | 8% | — |
| Chess Puzzles | 25% | — |
| Thematic Generalization | — | 23% |
| DTBench | 90.7% | — |
| LMCA | 38.3% | — |
| Epoch Capabilities Index | 149.16 | — |
| ForecastBench | 60.3 | — |
Math Grok 4.3 leads
Grok 4.3: 46.0 (#74), Mistral Large 3: 38.7 (#129)
| Benchmark | Grok 4.3 | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1388 | 1414 |
| FrontierMath (Tiers 1-3) | 42.8% | — |
| FrontierMath Tier 4 | 14.6% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
| ProofBench | 11% | — |
Knowledge Grok 4.3 leads
Grok 4.3: 52.5 (#62), Mistral Large 3: 36.0 (#177)
| Benchmark | Grok 4.3 | Mistral Large 3 |
|---|---|---|
| LMArena Expert | 1385 | 1421 |
| GPQA Diamond | 88.8% | — |
| SimpleQA Verified | 33.2% | — |
| Vectara Hallucination Rate | — | 14.5% |
Multimodal Mistral Large 3 leads
Grok 4.3: 31.6 (#104), Mistral Large 3: 38.2 (#66)
| Benchmark | Grok 4.3 | Mistral Large 3 |
|---|---|---|
| LMArena Vision | 1229 | 1221 |
| Blueprint-Bench 2 | 0% | — |
Multilingual Mistral Large 3 leads
Grok 4.3: 50.5 (#120), Mistral Large 3: 52.5 (#84)
| Benchmark | Grok 4.3 | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1385 | 1413 |
| LMArena Chinese | 1422 | 1447 |
| LMArena French | 1412 | 1455 |
| LMArena German | 1395 | 1437 |
| LMArena Japanese | 1379 | 1394 |
| LMArena Korean | 1356 | 1384 |
| LMArena Russian | 1399 | 1411 |
| LMArena Spanish | 1398 | 1440 |
Instruction Following Mistral Large 3 leads
Grok 4.3: 72.1 (#140), Mistral Large 3: 74.0 (#108)
| Benchmark | Grok 4.3 | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1366 | 1403 |
Long Context Too close to call
Grok 4.3: 42.5 (#123), Mistral Large 3: 43.1 (#105)
| Benchmark | Grok 4.3 | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1393 | 1413 |
Writing & Preference Mistral Large 3 leads
Grok 4.3: 58.5 (#118), Mistral Large 3: 60.0 (#101)
| Benchmark | Grok 4.3 | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1397 | 1428 |
| LMArena Creative Writing | 1380 | 1386 |
| LMArena Multi-Turn | 1406 | 1429 |
| EQ-Bench Creative Writing | — | 1412 |
| EQ-Bench 4 | 1075 | — |
Frequently asked questions
Is Grok 4.3 better than Mistral Large 3?
Grok 4.3 is the stronger model overall, scoring 43.8 to 39.1 on the Noometry Index. Mistral Large 3 costs 4.2× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.
Which is cheaper, Grok 4.3 or Mistral Large 3?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.
Is Grok 4.3 or Mistral Large 3 better for coding?
Grok 4.3 scores higher on coding benchmarks: 41.6 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Grok 4.3 does, with 1M tokens against 262K.
How many benchmarks do Grok 4.3 and Mistral Large 3 share?
20 benchmarks have published results for both models. Grok 4.3 has 40 scored results on Noometry and Mistral Large 3 has 24.