# Claude Opus 4.7 (Adaptive) vs Sage-A1.5

> Side-by-side benchmark comparison for Claude Opus 4.7 (Adaptive) and Sage-A1.5 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/claude-opus-4-7-adaptive-vs-sage-a1-5
- Last updated: October 23, 2026

- Shared sourced benchmarks: 2
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Evidence is too thin for a benchmark verdict: Claude Opus 4.7 (Adaptive) and Sage-A1.5 share only 2 sourced benchmark rows.

## Summary

- Only 2 shared sourced benchmark rows are available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- Sage-A1.5 has the lower published output-token price.
- Claude Opus 4.7 (Adaptive) has the larger published context window at 1M.

## Model Snapshot

| Property | Claude Opus 4.7 (Adaptive) | Sage-A1.5 |
|----------|----------|----------|
| Creator | Anthropic | InternScience |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 262K |
| Independent public score (not head-to-head) | 68.64 | 62.82 |
| Benchmarks Covered | 21 | 12 |
| Pricing (input/output) | $5.00 / $25.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 59.7 (Supported · #29/132)
- Sage-A1.5 public-lane score: 57.7 (Estimated · #36/132)

| Benchmark | Claude Opus 4.7 (Adaptive) | Sage-A1.5 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 69.4% | Coming soon | Coming soon |
| BrowseComp | 79.3% | 81.7% | Sage-A1.5 |
| MCP Atlas | 77.3% | Coming soon | Coming soon |
| OSWorld-Verified | 78% | Coming soon | Coming soon |
| CyberGym | 73.1% | Coming soon | Coming soon |
| OSWorld 2.0 | 18.2% | Coming soon | Coming soon |
| JobBench | 45.9% | Coming soon | Coming soon |
| GAIA | Coming soon | 95.1% | Coming soon |
| MLE-Bench Lite | Coming soon | 65.2% | Coming soon |
| HLE w/ tools | Coming soon | 55.1% | Coming soon |
| VITA-Bench | Coming soon | 45.4% | Coming soon |
| PinchBench | Coming soon | 90.0% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 55.6 (Estimated · #32/153)
- Sage-A1.5 public-lane score: 54 (Estimated · #34/153)

| Benchmark | Claude Opus 4.7 (Adaptive) | Sage-A1.5 | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 87.6% | Coming soon | Coming soon |
| SWE-bench Pro | 64.3% | 61.2% | Claude Opus 4.7 (Adaptive) |
| Terminal-Bench 2.0 | 69.4% | Coming soon | Coming soon |
| SciCode | Coming soon | 44.3% | Coming soon |
| SWE Multilingual | Coming soon | 72.7% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 57.4 (Unranked · 3 rankable rows)
- Sage-A1.5 public-lane score: 80.6 (Unranked · 2 rankable rows)

| Benchmark | Claude Opus 4.7 (Adaptive) | Sage-A1.5 | Winner |
|-----------|-----------|-----------|--------|
| MRCR v2 128K-256K | 59.2% | Coming soon | Coming soon |
| ARC-AGI-2 | 75.8% | Coming soon | Coming soon |
| ARC-AGI-3 | 0.2% | Coming soon | Coming soon |
| CritPt | Coming soon | 20.0% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 51.3 (#50/56)
- Sage-A1.5 public-lane score: Coming soon

| Benchmark | Claude Opus 4.7 (Adaptive) | Sage-A1.5 | Winner |
|-----------|-----------|-----------|--------|
| OfficeQA Pro | 43.6% | Coming soon | Coming soon |
| CharXiv | 91% | Coming soon | Coming soon |
| CharXiv w/o tools | 82.1% | Coming soon | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 65.5 (Estimated · #30/187)
- Sage-A1.5 public-lane score: Coming soon

| Benchmark | Claude Opus 4.7 (Adaptive) | Sage-A1.5 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 94.2% | Coming soon | Coming soon |
| GPQA-D | 94.2% | Coming soon | Coming soon |
| HLE | 54.7% | Coming soon | Coming soon |
| HLE w/o tools | 46.9% | Coming soon | Coming soon |
| FrontierScience Research | Coming soon | 48.3% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: Coming soon
- Sage-A1.5 public-lane score: 91.9 (#22/152)

| Benchmark | Claude Opus 4.7 (Adaptive) | Sage-A1.5 | Winner |
|-----------|-----------|-----------|--------|
| IFBench | Coming soon | 81.6% | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: Coming soon
- Sage-A1.5 public-lane score: Coming soon

| Benchmark | Claude Opus 4.7 (Adaptive) | Sage-A1.5 | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | 43.8% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between Claude Opus 4.7 (Adaptive) and Sage-A1.5?

Not yet. The models share only 2 sourced benchmark rows, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

- [Claude Opus 4.7 (Adaptive) vs Claude Opus 4.7](/compare/claude-opus-4-7-vs-claude-opus-4-7-adaptive)
- [Sage-A1.5 vs Claude Opus 4.7](/compare/claude-opus-4-7-vs-sage-a1-5)
- [Claude Opus 4.7 (Adaptive) vs Sage-A1.5-F16-GGUF](/compare/claude-opus-4-7-adaptive-vs-sage-a1-5-f16-gguf)
- [Sage-A1.5 vs Sage-A1.5-F16-GGUF](/compare/sage-a1-5-vs-sage-a1-5-f16-gguf)

## Explore More

- [Claude Opus 4.7 (Adaptive) profile](/models/claude-opus-4-7-adaptive)
- [Sage-A1.5 profile](/models/sage-a1-5)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)