Model comparison
Grok 4.5 vs Mistral Large 2
Head-to-head evidence from 9 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Grok 4.5 #7 (Supported); Mistral Large 2 #163 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Grok 4.5 and Mistral Large 2 share 9 comparable benchmark results. 0 of 8 categories are comparable. 18 results are unique to Grok 4.5; 2 to Mistral Large 2.
Updated July 18, 2026- Shared results
- 9
- Grok 4.5 only
- 18
- Mistral Large 2 only
- 2
- Comparable categories
- 0 / 8
Benchmark data for Grok 4.5 and Mistral Large 2 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 9 shared benchmark results across 3 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 has the larger context window at 500K, compared with 128K for Mistral Large 2.
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 2 |
|---|---|---|---|
| Agentic | Grok 4.583.3 | MarginNo overlap | Mistral Large 2Not measured |
| Coding | Grok 4.564.7 | MarginNo overlap | Mistral Large 2Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Grok 4.5 | Mistral Large 2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Grok 4.5$2 input / $6 output | Mistral Large 2Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Grok 4.5Not available | Mistral Large 238 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Grok 4.5Not available | Mistral Large 21.45 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Grok 4.5500K | Mistral Large 2128K | Grok 4.5 lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | Grok 4.5 | Mistral Large 2 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 83.3% | — | Not comparable |
| deepSweSource | 53% | — | Not comparable |
| AA Agentic IndexSource | 45.7% | — | Not comparable |
| GDPval-AASource | 51.7% | — | Not comparable |
| GDPval-AASource | 1535 | — | Not comparable |
| AA BriefcaseSource | 1323 | — | 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 |
| aaTerminalBench21Source | 81.6% | — | Not comparable |
| τ²-bench resultsSource | — | 30.7% | Not comparable |
Coding6 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Grok 4.5 | Mistral Large 2 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 53.8% | 9.2% | Grok 4.5 leads |
| AA-GPQA DiamondSource | 93.1% | 48.6% | Grok 4.5 leads |
| AA-HLESource | 40.3% | 4.0% | Grok 4.5 leads |
| AA-Omniscience IndexSource | 26.4% | -34.0% | Grok 4.5 leads |
| AA-Omniscience AccuracySource | 52.1% | 20.1% | Grok 4.5 leads |
| AA-Omniscience Hallucination RateSource | 53.5% | 67.8% | Grok 4.5 leads |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Grok 4.5 | Mistral Large 2 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 31.2% | Not comparable |
Frequently Asked Questions (3)
Can I compare Grok 4.5 and Mistral Large 2 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 2 today?
Grok 4.5: $2.00 input / $6.00 output per 1M tokens Mistral Large 2: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Related Comparisons
Explore More
The AI models change fast. We track them for you.
A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.