GPT-6 Astra vs Muse Wonder Full

$1.54 / task
Wins 0 of 5 benchmarks
Wins 1 of 5 benchmarks
MMMU-Pro (vision) MMMU-Pro (vision): College-level questions that require understanding images: charts, diagrams, photos
GPT-6 Astra85.1
Muse Wonder Full—
GDP.pdf · AA all-pass GDP.pdf · AA all-pass: Models reason over professional PDF documents; an attempt passes only when every atomic criterion passes
GPT-6 Astra30.4
Muse Wonder Full32.6
Chartography Chartography: Expert chart reasoning over professional scientific, medical, financial and engineering charts
GPT-6 Astra · max71
Muse Wonder Full—
Arena Document · overall Arena Document · overall: Human pairwise preferences in the stated document vote pool
GPT-6 Astra · max1,467.5
Muse Wonder Full—
Arena Vision · overall Arena Vision · overall: Human pairwise preferences in the stated vision vote pool
GPT-6 Astra · max1,279.9
Muse Wonder Full—

Specs

SpecGPT-6 AstraMuse Wonder Full
Input, per 1M$10—
Output, per 1M$50—
Cost per task?$1.54—
Speed, tok/s59—
Context1.05M1M
WeightsClosedClosed
ReleasedSep 2026Oct 2026
See images✓✓
Read PDFsPartial?
Hear audio—✓
Watch video—✓
Call tools✓✓
Force a tool callPartial?
Return strict JSON✓?
Search the web✓?
Run code✓?
Use a computer✓?

What breaks when you switch

GPT-6 Astra → Muse Wonder Full
Context: 1.05M → 1M
Only in Muse Code›

Muse Wonder Full requires a Muse Code subscription; max reasoning effort on the Model API Wonder model does not select Full.

Muse Wonder Full → GPT-6 Astra
Monitoring can return HTTP 403›

Misalignment monitoring can return HTTP 403 before streaming or errors after output; match misalignment_policy_violation and handle stream errors.

No none reasoning effort›

The none reasoning effort is unsupported on GPT-6 Astra and GPT-6.1 Sol; use low instead.

Remove unsupported sampling parameters›

When reasoning effort is not none, remove temperature, top_p and top_logprobs, plus Chat Completions logprobs or Responses output logprobs inclusion.