Model comparison
Grok 4.3 vs Mistral Nemo
Grok 4.3 is the stronger model overall, scoring 43.8 to 26.4 on the Noometry Index. Mistral Nemo costs 10× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Mistral AISummary
- They share 3 benchmarks with published results for both. Grok 4.3 scores higher in 5 categories and Mistral Nemo in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.3 leads 52.5 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 88.8% for Grok 4.3 and 29.9% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
- Grok 4.3 accepts more context: 1M tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| Grok 4.3 | Mistral Nemo | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 43.8 | 26.4 |
| Released | 2026-04-17 | 2024-07-01 |
| Weights | Proprietary | Open |
| Context window | 1M | 128K |
| Max output | 30K | 128K |
| Input $ / M tokens | $1.25 | $0.15 |
| Output $ / M tokens | $2.50 | $0.15 |
| Results tracked | 40 | 10 |
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Category by category
Coding Not comparable
Grok 4.3: 41.6 (#121), Mistral Nemo: —
| Benchmark | Grok 4.3 | Mistral Nemo |
|---|---|---|
| LMArena WebDev | 1357 | — |
| SciCode | 47.3% | — |
| WeirdML | 49.9% | — |
| LMArena Coding | 1415 | — |
| ALE-Bench | 944.17 | — |
Agentic & Tool Use Grok 4.3 leads
Grok 4.3: 27.7 (#99), Mistral Nemo: 23.5 (#125)
| Benchmark | Grok 4.3 | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
| GDP.pdf | 8% | — |
| LMArena Search | 1165 | — |
| Vending-Bench 2 | 35.26 | — |
Reasoning Grok 4.3 leads
Grok 4.3: 35.9 (#68), Mistral Nemo: 20.7 (#232)
| Benchmark | Grok 4.3 | Mistral Nemo |
|---|---|---|
| DTBench | 90.7% | 48.6% |
| Epoch Capabilities Index | 149.16 | 118.68 |
| NYT Connections (extended) | 55.2% | — |
| CritPt | 8% | — |
| Chess Puzzles | 25% | — |
| LMArena Hard Prompts | 1396 | — |
| LMCA | 38.3% | — |
| ForecastBench | 60.3 | — |
| PIQA | — | 83.5% |
Math Grok 4.3 leads
Grok 4.3: 46.0 (#74), Mistral Nemo: 25.5 (#268)
| Benchmark | Grok 4.3 | Mistral Nemo |
|---|---|---|
| FrontierMath (Tiers 1-3) | 42.8% | — |
| FrontierMath Tier 4 | 14.6% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
| ProofBench | 11% | — |
| LMArena Math | 1388 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge Grok 4.3 leads
Grok 4.3: 52.5 (#62), Mistral Nemo: 12.3 (#298)
| Benchmark | Grok 4.3 | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 88.8% | 29.9% |
| SimpleQA Verified | 33.2% | — |
| LMArena Expert | 1385 | — |
| BoolQ | — | 82.5% |
Multimodal Not comparable
Grok 4.3: 31.6 (#104), Mistral Nemo: —
| Benchmark | Grok 4.3 | Mistral Nemo |
|---|---|---|
| LMArena Vision | 1229 | — |
| Blueprint-Bench 2 | 0% | — |
Multilingual Not comparable
Grok 4.3: 50.5 (#120), Mistral Nemo: —
| Benchmark | Grok 4.3 | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1385 | — |
| LMArena Chinese | 1422 | — |
| LMArena French | 1412 | — |
| LMArena German | 1395 | — |
| LMArena Japanese | 1379 | — |
| LMArena Korean | 1356 | — |
| LMArena Russian | 1399 | — |
| LMArena Spanish | 1398 | — |
Instruction Following Not comparable
Grok 4.3: 72.1 (#140), Mistral Nemo: —
| Benchmark | Grok 4.3 | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1366 | — |
Long Context Not comparable
Grok 4.3: 42.5 (#123), Mistral Nemo: —
| Benchmark | Grok 4.3 | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1393 | — |
Writing & Preference Grok 4.3 leads
Grok 4.3: 58.5 (#118), Mistral Nemo: 28.5 (#296)
| Benchmark | Grok 4.3 | Mistral Nemo |
|---|---|---|
| LMArena Text | 1397 | — |
| LMArena Creative Writing | 1380 | — |
| EQ-Bench Creative Writing | — | 881 |
| EQ-Bench 4 | 1075 | — |
| LMArena Multi-Turn | 1406 | — |
Frequently asked questions
Is Grok 4.3 better than Mistral Nemo?
Grok 4.3 is the stronger model overall, scoring 43.8 to 26.4 on the Noometry Index. Mistral Nemo costs 10× 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 Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.
Which has the bigger context window?
Grok 4.3 does, with 1M tokens against 128K.
How many benchmarks do Grok 4.3 and Mistral Nemo share?
3 benchmarks have published results for both models. Grok 4.3 has 40 scored results on Noometry and Mistral Nemo has 10.