Model comparison
Grok 4.5 vs Mistral Large 3
Head-to-head evidence from 14 shared benchmark results across 5 categories. Overall scores shown here use BenchLM's provisional ranking lane.
Evidence parity. Grok 4.5 and Mistral Large 3 share 14 comparable benchmark results. 0 of 8 categories are comparable. 13 results are unique to Grok 4.5; 3 to Mistral Large 3.
Updated July 14, 2026- Shared results
- 14
- Grok 4.5 only
- 13
- Mistral Large 3 only
- 3
- Comparable categories
- 0 / 8
Benchmark data for Grok 4.5 and Mistral Large 3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Grok 4.5 is priced at $2.00 input / $6.00 output per 1M tokens, versus $0.50 input / $1.50 output per 1M tokens for Mistral Large 3. Grok 4.5 has the larger context window at 500K, compared with 128K for Mistral Large 3.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Grok 4.5 | Δ | Mistral Large 3 |
|---|---|---|---|
| Agentic | Grok 4.583.3 | MarginNo overlap | Mistral Large 3Not measured |
| Coding | Grok 4.564.7 | MarginNo overlap | Mistral Large 3Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Grok 4.5 | Mistral Large 3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Grok 4.5$2 input / $6 output | Mistral Large 3$0.5 input / $1.5 output | Mistral Large 3 has the lower combined listed price. |
| Generation speedtokens per second | Grok 4.5Not available | Mistral Large 348 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Grok 4.5Not available | Mistral Large 31.04 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Grok 4.5500K | Mistral Large 3128K | Grok 4.5 lists the larger context window. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | Grok 4.5 | Mistral Large 3 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 83.3% | — | Not comparable |
| deepSweSource | 53% | — | Not comparable |
| AA Agentic IndexSource | 45.7% | 5.5% | Grok 4.5 leads |
| GDPval-AASource | 51.9% | 6.6% | Grok 4.5 leads |
| GDPval-AASource | 1539 | 633 | Grok 4.5 leads |
| AA BriefcaseSource | 1324 | — | Not comparable |
| AA AutomationBenchSource | 51.4% | — | Not comparable |
| AA EnterpriseOps-GymSource | 40.8% | — | Not comparable |
| AA Harvey LABSource | 13.3% | — | Not comparable |
| AA Tau3 BankingSource | 32.6% | — | Not comparable |
| Tau2-TelecomSource | — | 24.6% | Not comparable |
Coding8 benchmarks
| Benchmark | Grok 4.5 | Mistral Large 3 | Result |
|---|---|---|---|
| SWE-bench ProSource | 64.7% | — | Not comparable |
| SWE MultilingualSource | 78% | — | Not comparable |
| Terminal-Bench 2.0Source | 83.3% | — | Not comparable |
| cursorBench32Source | 66.7% | — | Not comparable |
| AA Coding IndexSource | 72.5% | 20.1% | Grok 4.5 leads |
| AA-SciCodeSource | 54.1% | 36.2% | Grok 4.5 leads |
| AA Terminal-Bench 2.1Source | 81.6% | — | Not comparable |
| Terminal-Bench HardSource | — | 15.9% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Grok 4.5 | Mistral Large 3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 53.8% | 15.9% | Grok 4.5 leads |
| AA-GPQA DiamondSource | 93.1% | 68.0% | Grok 4.5 leads |
| AA-HLESource | 40.3% | 4.1% | Grok 4.5 leads |
| AA-Omniscience IndexSource | 26.4% | -39.4% | Grok 4.5 leads |
| AA-Omniscience AccuracySource | 52.1% | 24.1% | Grok 4.5 leads |
| AA-Omniscience Hallucination RateSource | 53.5% | 83.7% | Grok 4.5 leads |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Grok 4.5 | Mistral Large 3 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 36.2% | Not comparable |
Frequently Asked Questions (3)
Can I compare Grok 4.5 and Mistral Large 3 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Grok 4.5 and Mistral Large 3 today?
Grok 4.5: $2.00 input / $6.00 output per 1M tokens Mistral Large 3: $0.50 input / $1.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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