# GPT-5.6 Terra vs Muse Wonder

> Side-by-side benchmark comparison for GPT-5.6 Terra and Muse Wonder across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/gpt-5-6-terra-vs-muse-wonder
- Last updated: October 12, 2026

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

## Quick Verdict

Evidence is too thin for a benchmark verdict: GPT-5.6 Terra and Muse Wonder 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.
- GPT-5.6 Terra has the lower published output-token price.
- GPT-5.6 Terra has the larger published context window at 1.05M.

## Model Snapshot

| Property | GPT-5.6 Terra | Muse Wonder |
|----------|----------|----------|
| Creator | OpenAI | Meta |
| Type | Proprietary | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 1.05M | 1M |
| Independent public score (not head-to-head) | 71.75 | 70.44 |
| Benchmarks Covered | 34 | 6 |
| Pricing (input/output) | $2.00 / $12.00 | $4.00 / $20.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- GPT-5.6 Terra public-lane score: 59.5 (Supported · #24/123)
- Muse Wonder public-lane score: Coming soon

| Benchmark | GPT-5.6 Terra | Muse Wonder | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 3.0 | 20.8% | Coming soon | Coming soon |
| Terminal-Bench 2.1 | 87.4% | Coming soon | Coming soon |
| BrowseComp | 87.5% | Coming soon | Coming soon |
| OSWorld 2.0 | 50.2% | Coming soon | Coming soon |
| CyberGym | 81.8% | Coming soon | Coming soon |
| ExploitGym | 23.2% | Coming soon | Coming soon |
| Toolathlon | 53.1% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 77.5% | Coming soon | Coming soon |
| ApprenticeBench | 16% | Coming soon | Coming soon |
| JobBench | Coming soon | 70.5% | Coming soon |
| Finance Agent v2 | Coming soon | 56.6% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- GPT-5.6 Terra public-lane score: 63.2 (Supported · #14/148)
- Muse Wonder public-lane score: 69.8 (Supported · #10/148)

| Benchmark | GPT-5.6 Terra | Muse Wonder | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Pro | 63.4% | Coming soon | Coming soon |
| Terminal-Bench 2.1 | 87.4% | Coming soon | Coming soon |
| DeepSWE | 69.6% | 78.8% | Muse Wonder |
| FrontierCode 1.1 Extended | 55.8% | Coming soon | Coming soon |
| CursorBench 3.2 | 64.9% | Coming soon | Coming soon |
| VulcanBench v3 | 87.0% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 85.9% | Coming soon | Coming soon |
| SWE-bench (Vals) | 95.4% | Coming soon | Coming soon |
| CursorBench 4.0 | 41.3% | Coming soon | Coming soon |
| ProgramBench | Coming soon | 50.0% | Coming soon |
| sweMarathon | Coming soon | 53.1% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- GPT-5.6 Terra public-lane score: 69.1 (#23/29)
- Muse Wonder public-lane score: 81.3 (Unranked · 2 rankable rows)

| Benchmark | GPT-5.6 Terra | Muse Wonder | Winner |
|-----------|-----------|-----------|--------|
| ARC-AGI-2 | 83.9% | Coming soon | Coming soon |
| ARC-AGI-3 | 0.8% | Coming soon | Coming soon |
| ARC-AGI-1 | 96.50% | Coming soon | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- GPT-5.6 Terra public-lane score: 84.5 (#11/54)
- Muse Wonder public-lane score: Coming soon

| Benchmark | GPT-5.6 Terra | Muse Wonder | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | 80.7% | Coming soon | Coming soon |
| MMMU-Pro w/ Python | 82% | Coming soon | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- GPT-5.6 Terra public-lane score: 71.1 (Supported · #15/180)
- Muse Wonder public-lane score: 74 (Supported · #12/180)

| Benchmark | GPT-5.6 Terra | Muse Wonder | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 92.9% | Coming soon | Coming soon |
| GPQA-D | 92.9% | Coming soon | Coming soon |
| HLE-Verified | 51.1% | Coming soon | Coming soon |
| LABBench2 | 81.2% | Coming soon | Coming soon |
| HealthBench Professional | 57.7% | 60.5% | Muse Wonder |
| HealthBench Hard | 32.7% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 90.9% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 86.7% | Coming soon | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- GPT-5.6 Terra public-lane score: 87.1 (#38/127)
- Muse Wonder public-lane score: Coming soon

### Mathematics

- Winner: Insufficient shared evidence
- GPT-5.6 Terra public-lane score: 97.3 (Unranked · 3 rankable rows)
- Muse Wonder public-lane score: Coming soon

| Benchmark | GPT-5.6 Terra | Muse Wonder | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | 84.9% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 84.900% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 68.300% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between GPT-5.6 Terra and Muse Wonder?

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

- [GPT-5.6 Terra vs GPT-5.6 Sol](/compare/gpt-5-6-sol-vs-gpt-5-6-terra)
- [Muse Wonder vs GPT-5.6 Sol](/compare/gpt-5-6-sol-vs-muse-wonder)
- [GPT-5.6 Terra vs GPT-5.6 Luna](/compare/gpt-5-6-luna-vs-gpt-5-6-terra)
- [Muse Wonder vs GPT-5.6 Luna](/compare/gpt-5-6-luna-vs-muse-wonder)

## Explore More

- [GPT-5.6 Terra profile](/models/gpt-5-6-terra)
- [Muse Wonder profile](/models/muse-wonder)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)