Model comparison
Gemini 1.5 Pro vs Mistral Large 3
Head-to-head evidence from 6 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 1.5 Pro #185 (Supported); Mistral Large 3 #113 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 1.5 Pro and Mistral Large 3 share 6 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Gemini 1.5 Pro; 10 to Mistral Large 3.
Updated July 20, 2026- Shared results
- 6
- Gemini 1.5 Pro only
- 0
- Mistral Large 3 only
- 10
- Comparable categories
- 0 / 8
Benchmark data for Gemini 1.5 Pro and Mistral Large 3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 6 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.
Gemini 1.5 Pro is priced at $1.25 input / $5.00 output per 1M tokens, versus $0.50 input / $1.50 output per 1M tokens for Mistral Large 3. Gemini 1.5 Pro has the larger context window at 2M, 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.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 1.5 Pro | Mistral Large 3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 1.5 Pro$1.25 input / $5 output | Mistral Large 3$0.5 input / $1.5 output | Mistral Large 3 has the lower combined listed price. |
| Generation speedtokens per second | Gemini 1.5 ProNot available | Mistral Large 348 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 1.5 ProNot available | Mistral Large 31.04 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 1.5 Pro2M | Mistral Large 3128K | Gemini 1.5 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Gemini 1.5 Pro | Mistral Large 3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 10.0% | 15.9% | Mistral Large 3 leads |
| AA-GPQA DiamondSource | 58.9% | 68.0% | Mistral Large 3 leads |
| AA-HLESource | 4.9% | 4.1% | Gemini 1.5 Pro leads |
| AA-Omniscience IndexSource | — | -39.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 24.1% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 83.7% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Gemini 1.5 Pro | Mistral Large 3 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 55.0% | 55.7% | Mistral Large 3 leads |
Inst. Following1 benchmarks
| Benchmark | Gemini 1.5 Pro | Mistral Large 3 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 36.2% | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemini 1.5 Pro 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 Gemini 1.5 Pro and Mistral Large 3 today?
Gemini 1.5 Pro: $1.25 input / $5.00 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.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.