Model comparison
Claude Opus 4.7 vs Llama 4 Behemoth
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: Claude Opus 4.7 #12 (Supported); Llama 4 Behemoth #176 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.7 and Llama 4 Behemoth share 0 comparable benchmark results. 0 of 8 categories are comparable. 21 results are unique to Claude Opus 4.7; 0 to Llama 4 Behemoth.
Updated July 21, 2026- Shared results
- 0
- Claude Opus 4.7 only
- 21
- Llama 4 Behemoth only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.7 and Llama 4 Behemoth 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.
Claude Opus 4.7 is priced at $5.00 input / $25.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 4 Behemoth. Claude Opus 4.7 has the larger context window at 1M, 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 | Claude Opus 4.7 | Llama 4 Behemoth | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.7$5 input / $25 output | Llama 4 Behemoth$0 input / $0 output | Llama 4 Behemoth has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.7Not available | Llama 4 BehemothNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.7Not available | Llama 4 BehemothNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.71M | Llama 4 Behemoth32K | Claude Opus 4.7 lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude Opus 4.7 | Llama 4 Behemoth | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 42.7% | — | Not comparable |
| AA-GPQA DiamondSource | 88.5% | — | Not comparable |
| AA-HLESource | 31.2% | — | Not comparable |
| AA-Omniscience IndexSource | 14.2% | — | Not comparable |
| AA-Omniscience AccuracySource | 43.5% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 51.9% | — | Not comparable |
Math2 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.7 | Llama 4 Behemoth | Result |
|---|---|---|---|
| AA-IFBenchSource | 43.6% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.7 and Llama 4 Behemoth 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 Claude Opus 4.7 and Llama 4 Behemoth today?
Claude Opus 4.7: $5.00 input / $25.00 output per 1M tokens Llama 4 Behemoth: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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