Side by side
Standard-tier prices in effect today. The better value in each row is highlighted.
| Fact | GPT-5.6 Sol | Muse Wonder |
|---|---|---|
| Price per 1M input tokens | $4 | $4 |
| Price per 1M output tokens | $20 | $20 |
| Cost of 10M input and 2M output tokens | $80 | $80 |
| Arena Text | 1485 Elo (#11 of 49) | Not measured |
| GPQA Diamond | 93.5% (#11 of 40) | Not measured |
| FrontierMath Tiers 1-3 (v2) | 89.1% (#6 of 40) | Not measured |
| SimpleQA Verified | 69.7% (#7 of 36) | Not measured |
| Provider | OpenAI | Meta |
| Release date | July 9, 2026 | October 12, 2026 |
| Access | API only | API only |
| Context window | 1,050,000 tokens | 1,048,576 tokens |
| Max output | 128,000 tokens | Not reported |
| Input | text, image | text, image, audio, video |
| Output | text | text |
When to choose each
GPT-5.6 Sol
Best for
- Frontier capability evaluations for complex API workflows
- Long-horizon coding and research agents that use computer use or MCP tools
Watch out for
- Not in the pinned LiveBench snapshot; its independent scores here come from Epoch AI's own GPQA Diamond, FrontierMath and SimpleQA Verified runs
Muse Wonder
Best for
- Multi-file coding changes and multi-hour agent runs
- Sub-agent orchestration where capability matters more than cost
Watch out for
- Meta lists it as a preview, and the Model API serves Standard mode only, with no discounted Contributor tier
- The higher-capability Muse Wonder Full is only available through Muse Code subscriptions, not per token
- Released after the latest Arena and Epoch AI snapshots, so no independent score is recorded yet
GPT-5.6 Sol vs Muse Wonder FAQ
Which is cheaper, GPT-5.6 Sol or Muse Wonder?
Both cost $4 per 1M input tokens. For 10M input and 2M output tokens, GPT-5.6 Sol costs $80 and Muse Wonder $80 at standard rates.
Which has the larger context window, GPT-5.6 Sol or Muse Wonder?
Both accept about 1.05M tokens of context (1,050,000 and 1,048,576).
Related comparisons
Production evaluation
Choosing between GPT-5.6 Sol and Muse Wonder?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty