Model comparison
Claude Opus 4.7 vs Laguna M.1
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 #15 (Supported); Laguna M.1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.7 and Laguna M.1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 21 results are unique to Claude Opus 4.7; 5 to Laguna M.1.
Updated July 27, 2026- Shared results
- 0
- Claude Opus 4.7 only
- 21
- Laguna M.1 only
- 5
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.7 and Laguna M.1 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Claude Opus 4.7 has the larger context window at 1M, compared with 256K for Laguna M.1.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.7 | Laguna M.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.7$5 input / $25 output | Laguna M.1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.7Not available | Laguna M.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.7Not available | Laguna M.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.71M | Laguna M.1256K | Claude Opus 4.7 lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding8 benchmarks
| Benchmark | Claude Opus 4.7 | Laguna M.1 | Result |
|---|---|---|---|
| Vibe Code BenchSource | 71.00% | — | Not comparable |
| React Native EvalsSource | 82.8% | — | Not comparable |
| AA-SciCodeSource | 50.1% | — | Not comparable |
| FrontierCode 1.1 MainSource | 38.5% | — | Not comparable |
| SWE-bench VerifiedSource | — | 74.6% | Not comparable |
| SWE MultilingualSource | — | 63.1% | Not comparable |
| SWE-bench ProSource | — | 49.2% | Not comparable |
| Terminal-Bench 2.0Source | — | 45.8% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude Opus 4.7 | Laguna M.1 | 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 | Laguna M.1 | Result |
|---|---|---|---|
| AA-IFBenchSource | 43.6% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.7 and Laguna M.1 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 Laguna M.1 today?
Claude Opus 4.7: $5.00 input / $25.00 output per 1M tokens Laguna M.1: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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