← ModelRumors.ai buyer's guide
HEAD TO HEAD · UPDATED NOV 6, 2026
Muse Wonder vs DeepSeek V4-Pro
Meta against DeepSeek, 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 | DeepSeek V4-Pro | |
|---|---|---|
| Arena Elo | 1507 source ↗ | 1465 source ↗ |
| GPQA Diamond | not published | 92.4% source ↗ |
| $ per 1M in / out | $4 / $20 source ↗ | $0.66 / $1.98 source ↗ |
| Blended $ per 1M (3:1) | $8.00 source ↗ | $0.99 source ↗ |
| Context window | not published | 1M source ↗ |
| Output speed | not published | not published |
| Released | Oct 12, 2026 source ↗ | Aug 13, 2026 source ↗ |
| Open weights | No source ↗ | Yes source ↗ |
| Reasoning effort tiers | minimal · low · medium · high · xhigh · max (default: not stated) | low · high · max (default: high) |
| API effort control | reasoning_effort="minimal" | "low" | "medium" | "high" | "xhigh" | "max" (Chat Completions) source ↗ | thinking={"type": "enabled" | "disabled"}, reasoning_effort="low" | "high" | "max" (medium and xhigh map to high) source ↗ |
| Additional benchmarks | Arena Text: 1507 (#4, Max effort) source ↗ | SWE-bench Verified: 80.6% (April V4 preview card, Max) source ↗ |
| Best for (workload) | Meta's highest-ranked model on Arena Text (1507, #4 at Max effort). The API is in preview. source ↗ | Higher GPQA Diamond than V4.1-Flash (92.4% vs 90.9%, DeepSeek); MIT open weights. 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, DeepSeek V4-Pro is about 8.1 times cheaper per token. For overall answer quality as rated by people in blind tests, Muse Wonder leads clearly (1507 vs 1465 Arena Elo). If you need to self-host or fine-tune, only DeepSeek V4-Pro has open weights. On release timing, Meta is at day 22 of a typical ~14-day gap (PAST TYPICAL GAP), and DeepSeek is at day 20 of a typical ~32-day gap (MID-CYCLE).
Key differences from the sourced numbers
- DeepSeek V4-Pro is the cheaper option: $0.99 vs $8.00 per 1M tokens at a 3:1 input-to-output mix (about 8.1 times less).
- Muse Wonder scores 42 Elo points higher (1507 vs 1465) on the Arena text leaderboard, where people vote on blind side-by-side answers.
- Muse Wonder pricing note: Meta Model API, in preview.
- DeepSeek V4-Pro pricing note: Off-peak price (cache hit $0.022 / 1M). Peak hours (01:00 to 04:00 and 06:00 to 10:00 UTC, weekdays): $1.32 / $3.96 (cache hit $0.044 / 1M). API continues until V4.1-Pro launches.
Frequently asked questions
Is Muse Wonder or DeepSeek V4-Pro better?
DeepSeek V4-Pro is the cheaper option: $0.99 vs $8.00 per 1M tokens at a 3:1 input-to-output mix (about 8.1 times less). Muse Wonder scores 42 Elo points higher (1507 vs 1465) on the Arena text leaderboard, where people vote on blind side-by-side answers. Muse Wonder pricing note: Meta Model API, in preview. DeepSeek V4-Pro pricing note: Off-peak price (cache hit $0.022 / 1M). Peak hours (01:00 to 04:00 and 06:00 to 10:00 UTC, weekdays): $1.32 / $3.96 (cache hit $0.044 / 1M). API continues until V4.1-Pro launches.
Which one should I use: Muse Wonder or DeepSeek V4-Pro?
For high-volume work where cost matters most, DeepSeek V4-Pro is about 8.1 times cheaper per token. For overall answer quality as rated by people in blind tests, Muse Wonder leads clearly (1507 vs 1465 Arena Elo). If you need to self-host or fine-tune, only DeepSeek V4-Pro has open weights. On release timing, Meta is at day 22 of a typical ~14-day gap (PAST TYPICAL GAP), and DeepSeek is at day 20 of a typical ~32-day gap (MID-CYCLE).
How much does Muse Wonder cost compared with DeepSeek V4-Pro?
Muse Wonder lists at $4 / $20 per 1M input/output tokens ($8.00/1M blended at 3:1). DeepSeek V4-Pro lists at $0.66 / $1.98 per 1M input/output tokens ($0.99/1M blended at 3:1).
Facts checked Nov 5, 2026 against official sources. Every number links to its source. Spotted an error? Email [email protected].