← ModelRumors.ai buyer's guide
HEAD TO HEAD · UPDATED NOV 6, 2026
Muse Wonder vs GPT-6 Astra
Meta against OpenAI, on sourced numbers only. Green marks the higher (or cheaper) value on each row; the text below only calls a lead when the gap is bigger than measurement noise.
| Muse Wonder | GPT-6 Astra | |
|---|---|---|
| Arena Elo | 1507 source ↗ | 1476 source ↗ |
| GPQA Diamond | not published | 96.0% source ↗ |
| $ per 1M in / out | $4 / $20 source ↗ | $10 / $50 source ↗ |
| Blended $ per 1M (3:1) | $8.00 source ↗ | $20.00 source ↗ |
| Context window | not published | 1.05M source ↗ |
| Output speed | not published | not published |
| Released | Oct 12, 2026 source ↗ | Sep 3, 2026 source ↗ |
| Open weights | No source ↗ | No source ↗ |
| Reasoning effort tiers | minimal · low · medium · high · xhigh · max (default: not stated) | low · medium · high · xhigh · max (default: not stated) |
| API effort control | reasoning_effort="minimal" | "low" | "medium" | "high" | "xhigh" | "max" (Chat Completions) source ↗ | reasoning={"effort": "low" | "medium" | "high" | "xhigh" | "max"} source ↗ |
| Additional benchmarks | Arena Text: 1507 (#4, Max effort) source ↗ | DeepSWE v1.1: 74.1% source ↗ Terminal-Bench 4.0: 57.9% source ↗ AA Intelligence Index v5.0.1: 57 (Max) source ↗ |
| Best for (workload) | Meta's highest-ranked model on Arena Text (1507, #4 at Max effort). The API is in preview. source ↗ | OpenAI's most capable model: 96.0% GPQA Diamond, 74.1% DeepSWE v1.1 and 57.9% Terminal-Bench 4.0 (OpenAI). source ↗ |
Arena Elo from the arena.ai text leaderboard as of Oct 27, 2026 source ↗. Speed measured by Artificial Analysis and varies by provider.
Which one should I use?
For high-volume work where cost matters most, Muse Wonder is about 2.5 times cheaper per token. For overall answer quality as rated by people in blind tests, Muse Wonder leads clearly (1507 vs 1476 Arena Elo). On release timing, Meta is at day 22 of a typical ~14-day gap (PAST TYPICAL GAP), and OpenAI is at day 11 of a typical ~23-day gap (ADOPT NOW · FRESH RELEASE).
Key differences from the sourced numbers
- Muse Wonder is the cheaper option: $8.00 vs $20.00 per 1M tokens at a 3:1 input-to-output mix (about 2.5 times less).
- Muse Wonder scores 31 Elo points higher (1507 vs 1476) on the Arena text leaderboard, where people vote on blind side-by-side answers.
- Muse Wonder pricing note: Meta Model API, in preview.
- GPT-6 Astra pricing note: Prompts up to 272K tokens; $20 / $75 above 272K. Batch and Flex: $5 / $25.
Frequently asked questions
Is Muse Wonder or GPT-6 Astra better?
Muse Wonder is the cheaper option: $8.00 vs $20.00 per 1M tokens at a 3:1 input-to-output mix (about 2.5 times less). Muse Wonder scores 31 Elo points higher (1507 vs 1476) on the Arena text leaderboard, where people vote on blind side-by-side answers. Muse Wonder pricing note: Meta Model API, in preview. GPT-6 Astra pricing note: Prompts up to 272K tokens; $20 / $75 above 272K. Batch and Flex: $5 / $25.
Which one should I use: Muse Wonder or GPT-6 Astra?
For high-volume work where cost matters most, Muse Wonder is about 2.5 times cheaper per token. For overall answer quality as rated by people in blind tests, Muse Wonder leads clearly (1507 vs 1476 Arena Elo). On release timing, Meta is at day 22 of a typical ~14-day gap (PAST TYPICAL GAP), and OpenAI is at day 11 of a typical ~23-day gap (ADOPT NOW · FRESH RELEASE).
How much does Muse Wonder cost compared with GPT-6 Astra?
Muse Wonder lists at $4 / $20 per 1M input/output tokens ($8.00/1M blended at 3:1). GPT-6 Astra lists at $10 / $50 per 1M input/output tokens ($20.00/1M blended at 3:1).
Facts checked Nov 5, 2026 against official sources. Every number links to its source. Spotted an error? Email [email protected].