Model comparison
Llama 4 Behemoth vs Mistral Large 3
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Llama 4 Behemoth #176 (Estimated); Mistral Large 3 #113 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Llama 4 Behemoth and Mistral Large 3 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Llama 4 Behemoth; 16 to Mistral Large 3.
Updated July 21, 2026- Shared results
- 0
- Llama 4 Behemoth only
- 0
- Mistral Large 3 only
- 16
- Comparable categories
- 0 / 8
Benchmark data for Llama 4 Behemoth and Mistral Large 3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 does not have sourced benchmark coverage for Llama 4 Behemoth yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Mistral Large 3 is priced at $0.50 input / $1.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 4 Behemoth. Mistral Large 3 has the larger context window at 128K, compared with 32K for Llama 4 Behemoth.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Llama 4 Behemoth | Mistral Large 3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Llama 4 Behemoth$0 input / $0 output | Mistral Large 3$0.5 input / $1.5 output | Llama 4 Behemoth has the lower combined listed price. |
| Generation speedtokens per second | Llama 4 BehemothNot available | Mistral Large 348 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Llama 4 BehemothNot available | Mistral Large 31.04 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Llama 4 Behemoth32K | Mistral Large 3128K | Mistral Large 3 lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Llama 4 Behemoth | Mistral Large 3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 15.9% | Not comparable |
| AA-GPQA DiamondSource | — | 68.0% | Not comparable |
| AA-HLESource | — | 4.1% | Not comparable |
| 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 | Llama 4 Behemoth | Mistral Large 3 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 55.7% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Llama 4 Behemoth | Mistral Large 3 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 36.2% | Not comparable |
Frequently Asked Questions (3)
Can I compare Llama 4 Behemoth 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 Llama 4 Behemoth and Mistral Large 3 today?
Llama 4 Behemoth: $0.00 input / $0.00 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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