Objective comparison based on public benchmarks updated weekly: Intelligence Index, Chatbot Arena ELO, pricing and speed.
Overall winner (2026)
Muse Wonder (Max)
4 of 7 criteria won
OpenAI
ELO Arena
1476
Intelligence Index
52.7
Coding Index
76.9
3 criteria won
View full profile →| Critério | GPT-6 Astra (Max) | Muse Wonder (Max) |
|---|---|---|
| Chatbot Arena ELO | 1476 | 1509 ✓ |
| Intelligence Index (AA) | 52.7 ✓ | 52.4 |
| Coding Index (AA) | 76.9 ✓ | — |
| Input price ($/1M tok) | $10.00 | $4.00 ✓ |
| Output price ($/1M tok) | $50.00 | $20.00 ✓ |
| Context window | 1.1M tokens ✓ | 1.0M tokens |
| Speed (tokens/s) | 61 tok/s | 208 tok/s ✓ |
✓ = winner in this criterion • Source: Artificial Analysis, LMArena, official APIs • Updated weekly
Choosing between GPT-6 Astra (Max) and Muse Wonder (Max) depends on your use case, budget and technical requirements. Below, a practical guide based on benchmark data and each model's specifications.
OpenAI · Text
Meta · Text
Muse Wonder (Max) wins in 4 of 7 criteria analyzed. Check the full table to choose based on your use case.
Data is aggregated from Artificial Analysis (Intelligence Index, Coding Index) and Chatbot Arena/LMArena (ELO). Pricing and specs come from official APIs. Updated weekly.
The Intelligence Index is an aggregate score from Artificial Analysis that combines multiple academic benchmarks (MMLU, GPQA, LiveBench, etc.) into a single rating. The higher the score, the more capable the model is at reasoning tasks.
No. Muse Wonder (Max) is cheaper: $4/1M input tokens vs $10/1M tokens for GPT-6 Astra (Max) — a 150% difference. For high-volume projects, Muse Wonder (Max) can reduce costs substantially.
GPT-6 Astra (Max) has the larger context window: 1.1M tokens vs 1.0M tokens. For long document analysis, extensive transcripts or full codebases, the larger context window is a decisive criterion.