text model comparison
Muse Spark Open vs Muse Wonder
Muse Spark Open and Muse Wonder are both current text models, from Meta. On Arena WebDev, Muse Spark Open scores 1526 Elo and Muse Wonder 1652 Elo (Arena, measured October 28, 2026). Both accept about 1.05M tokens of context (1,048,576 and 1,000,000).
- Higher Arena WebDev
- Muse Wonder1652 Elo against 1526 Elo
- Longer context window
- Muse Wonder1.05M tokens against 1M tokens
- Newer release
- Muse Spark OpenOct 2026 against Oct 2026
Data verified November 3, 2026 · Dataset 2026-11-03
Side by side
Muse Spark Open and Muse Wonder, line by line
Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.
| Fact | Muse Spark Open | Muse Wonder |
|---|---|---|
| Price | ||
| Price per 1M input tokens | Not listed | $4 |
| Price per 1M output tokens | Not listed | $20 |
| Independent benchmarks | ||
| Arena WebDev | 1526 Elo (#35 of 45) | 1652 Elo (#15 of 45) (better) |
| FrontierMath Tiers 1-3 (v2) | 69.8% (#24 of 42) | 82.1% (#14 of 42) (better) |
| GPQA Diamond | 88.6% (#34 of 41) | Not measured |
| SimpleQA Verified | 56.6% (#16 of 38) | Not measured |
| Arena Text | Not measured | 1507 Elo (#3 of 51) |
| Specs | ||
| Provider | Meta | Meta |
| Release date | October 15, 2026 | October 12, 2026 |
| Access | open weights | API only |
| Context window | 1,000,000 tokens | 1,048,576 tokens |
| Max output | Not reported | Not reported |
| Input | text, image, video, audio | text, image, audio, video |
| Output | text | text |
Charts
Against every current text model
Where Muse Spark Open and Muse Wonder land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
On Arena WebDev, Muse Spark Open ranks #35 and Muse Wonder #15 of 45 current models. Each bar is the share of current models it beats: on score, price and context.
Independent benchmarks
Arena Text
Muse Spark Open: Not scored
Muse Wonder:#3of 51
1,507 Elo · ahead of 96%
Arena WebDev
Muse Spark Open:#35of 45
1,526 Elo · ahead of 23%
Muse Wonder:#15of 45
1,652 Elo · ahead of 68%
FrontierMath Tiers 1-3 (v2)
Muse Spark Open:#24of 42
69.8% · ahead of 44%
Muse Wonder:#14of 42
82.1% · ahead of 66%
GPQA Diamond
Muse Spark Open:#34of 41
88.6% · ahead of 18%
Muse Wonder: Not scored
SimpleQA Verified
Muse Spark Open:#16of 38
56.6% · ahead of 59%
Muse Wonder: Not scored
Price and context
Price per 1M input tokens
Muse Spark Open: Not listed
Muse Wonder:#43of 52
$4 · cheaper than 14%
Price per 1M output tokens
Muse Spark Open: Not listed
Muse Wonder:#43of 52
$20 · cheaper than 14%
Context window
Muse Spark Open:#26of 64
1M tokens · longer than 22%
Muse Wonder:#11of 64
1.05M tokens · longer than 67%
Quality against price
Muse Wonder scores 1,507 at $8 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.
Quality against price: the data
| Model | Provider | Blended price per 1M tokens | Arena Text (Elo) |
|---|---|---|---|
| Gemini 4 Argon | $4 | 1,520 | |
| Claude Opus 5.5 | Anthropic | $8 | 1,509 |
| Muse Wonder | Meta | $8 | 1,507 |
| Claude Fable 5 | Anthropic | $20 | 1,504 |
| Claude Fable 5.1 | Anthropic | $20 | 1,504 |
| Gemini 3.8 Flash | $1.50 | 1,496 | |
| Muse Spark 1.3 | Meta | $2 | 1,495 |
| Claude Opus 5 | Anthropic | $10 | 1,492 |
| Kimi K3 | Moonshot Kimi | $6 | 1,488 |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| Gemini 3.6 Flash | $3 | 1,483 | |
| GPT-5.5 | OpenAI | $11 | 1,482 |
| Claude Opus 4.8 | Anthropic | $10 | 1,482 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,482 |
| GPT-6.1 Sol | OpenAI | $4 | 1,481 |
| GLM-5.3 | Z.ai | $2.15 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,477 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,477 |
| GPT-6 Astra | OpenAI | $20 | 1,476 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,476 |
| GPT-5.4 | OpenAI | $5.63 | 1,475 |
| Gemini 3 Flash Preview | $1.13 | 1,473 | |
| Grok 4.20 | xAI | $1.56 | 1,472 |
| GPT-5.6 Terra | OpenAI | $4.50 | 1,467 |
| Grok 4.5 | xAI | $3 | 1,465 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,465 |
| Claude Sonnet 5 | Anthropic | $4 | 1,462 |
| GPT-6 Sol | OpenAI | $4 | 1,458 |
| Gemini 3.5 Flash-Lite | $0.85 | 1,456 | |
| Grok 4.6 | xAI | $3 | 1,455 |
| GPT-5.6 Luna | OpenAI | $0.45 | 1,453 |
| MiMo-V2.6-Flash | Xiaomi MiMo | $0.18 | 1,448 |
| Step 5 Preview | StepFun | $1.43 | 1,448 |
| Grok 4.3 | xAI | $1.56 | 1,442 |
| GPT-6 Luna | OpenAI | $0.20 | 1,441 |
| Grok 4.7 | xAI | $3 | 1,441 |
| Mistral Large 4 | Mistral AI | $1.05 | 1,432 |
| Claude Haiku 5.5 | Anthropic | $0.20 | 1,425 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Solar Pro 4 | Upstage | $0.52 | 1,388 |
| GPT-4.1 mini | OpenAI | $0.70 | 1,383 |
| GPT-4.1 nano | OpenAI | $0.18 | 1,322 |
Cost
What each costs
Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.
| Workload or rate | Muse Spark Open | Muse Wonder |
|---|---|---|
| Other listed rates | ||
| 1M input tokens, cached | Not listed | $0.20 |
Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.
Launch price $100, regular price $150
Verdict
When to choose each
Muse Spark Open
Where it leads
- Open weights you can run yourself
Best for
- Self-hosted coding and agent work on owned infrastructure
- Long-context multimodal analysis where data must stay in-house
Watch out for
- The Muse Model License limits commercial use; it is not an open-source licence
- Meta does not serve it on its own Model API, so hosted prices come from third parties
- Self-hosting needs at least 700GB of GPU memory in NVFP4 or 2TB in BF16
Muse Wonder
Where it leads
- Higher Arena WebDev score, 1652 Elo vs 1526 Elo
- Higher FrontierMath Tiers 1-3 (v2) score, 82.1% vs 69.8%
- A cached-input rate, $0.20 per 1M tokens
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
From benchmark to production
Building on Muse Spark Open or Muse Wonder?
Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.
AI Model Cost AuditLaunch price $100, regular price $150What the audit includes
FAQ
Muse Spark Open vs Muse Wonder FAQ
Do Muse Spark Open and Muse Wonder discount cached input?
Muse Wonder lists a cached-input rate of $0.20 per 1M tokens, 95% below its standard input rate. No cached-input rate is listed for Muse Spark Open.
Which scores higher on independent benchmarks, Muse Spark Open or Muse Wonder?
Muse Wonder leads on Arena WebDev, 1652 Elo to 1526 Elo; Muse Wonder leads on FrontierMath Tiers 1-3 (v2), 82.1% to 69.8%. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, Muse Spark Open or Muse Wonder?
Both accept about 1.05M tokens of context (1,048,576 and 1,000,000).
Can I run Muse Spark Open or Muse Wonder myself?
Muse Spark Open is released as open weights you can run yourself; Muse Wonder is available through its provider's API only.
Further reading
More on Muse Spark Open and Muse Wonder
Articles on Muse Spark Open and Muse Wonder
- Muse Wonder: Meta's Frontier Model, Benchmarks and PriceOctober 13, 2026
Related comparisons
- Muse Spark 1.3 vs Muse Spark Open
- Claude Opus 4.8 vs Muse Wonder
- MiniMax M3.1 Flash vs Muse Spark Open
- Claude Opus 5.5 vs Muse Wonder
- Beam 1.0 vs Muse Spark Open
- Claude Opus 5 vs Muse Wonder
- Muse Spark Open vs Nemotron 3.5 Super VL
- Gemini 4 Argon vs Muse Wonder
- Beam 1.0 vs Muse Wonder
- Muse Wonder vs Nemotron 3.5 Super VL
- GPT-5.5 vs Muse Wonder
- GPT-5.6 Sol vs Muse Wonder
Production evaluation
Choosing between Muse Spark Open 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