text model comparison
Muse Spark 1.3 vs Qwen3.8-Flash-Next
Muse Spark 1.3 and Qwen3.8-Flash-Next are both current text models, from Meta and Alibaba Qwen. On Arena WebDev, Muse Spark 1.3 scores 1656 Elo and Qwen3.8-Flash-Next 1628 Elo (Arena, measured October 28, 2026). Muse Spark 1.3 has the larger context window, 1,048,576 vs 262,144 tokens.
- Higher Arena WebDev
- Muse Spark 1.31656 Elo against 1628 Elo
- Longer context window
- Muse Spark 1.31.05M tokens against 262K tokens
- Newer release
- Muse Spark 1.3Sep 2026 against Aug 2026
Data verified November 3, 2026 · Dataset 2026-11-03
Side by side
Muse Spark 1.3 and Qwen3.8-Flash-Next, 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 1.3 | Qwen3.8-Flash-Next |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $1.25 | Not listed |
| Price per 1M output tokens | $4.25 | Not listed |
| Independent benchmarks | ||
| Arena WebDev | 1656 Elo (#13 of 45) (better) | 1628 Elo (#18 of 45) |
| Arena Text | 1495 Elo (#7 of 51) | Not measured |
| FrontierMath Tiers 1-3 (v2) | 74.4% (#21 of 42) | Not measured |
| Specs | ||
| Provider | Meta | Alibaba Qwen |
| Release date | September 2, 2026 | August 26, 2026 |
| Access | API only | open weights |
| Context window | 1,048,576 tokens | 262,144 tokens |
| Max output | Not reported | Not reported |
| Input | text, image, audio, video | text, image, video |
| Output | text | text |
Charts
Against every current text model
Where Muse Spark 1.3 and Qwen3.8-Flash-Next 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 1.3 ranks #13 and Qwen3.8-Flash-Next #18 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 1.3:#7of 51
1,495 Elo · ahead of 88%
Qwen3.8-Flash-Next: Not scored
Arena WebDev
Muse Spark 1.3:#13of 45
1,656 Elo · ahead of 70%
Qwen3.8-Flash-Next:#18of 45
1,628 Elo · ahead of 61%
FrontierMath Tiers 1-3 (v2)
Muse Spark 1.3:#21of 42
74.4% · ahead of 51%
Qwen3.8-Flash-Next: Not scored
Price and context
Price per 1M input tokens
Muse Spark 1.3:#23of 52
$1.25 · cheaper than 53%
Qwen3.8-Flash-Next: Not listed
Price per 1M output tokens
Muse Spark 1.3:#25of 52
$4.25 · cheaper than 53%
Qwen3.8-Flash-Next: Not listed
Context window
Muse Spark 1.3:#11of 64
1.05M tokens · longer than 67%
Qwen3.8-Flash-Next:#55of 64
262K tokens · longer than 13%
Quality against price
Muse Spark 1.3 scores 1,495 at $2 (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 1.3 | Qwen3.8-Flash-Next |
|---|---|---|
| Other listed rates | ||
| 1M input tokens, cached | $0.15 | Not listed |
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 1.3
Where it leads
- Higher Arena WebDev score, 1656 Elo vs 1628 Elo
- Larger context window 1,048,576 vs 262,144 tokens
- Accepts audio input
- A cached-input rate, $0.15 per 1M tokens
Best for
- Tool-heavy agent loops where fewer calls per task matters as much as the per-token rate
- Coding agents at volume, where its coding scores and low price line up
Watch out for
- Meta’s own documentation states audio understanding is not fully supported and response quality may be degraded on requests containing audio
- The much cheaper contributor endpoint (about $0.10 / $0.20 per million) is priced that way in exchange for Meta training on your traffic. The standard tier is the rate recorded here.
- Meta’s scorecard has it trailing Claude Opus 5 on every broader agent-workflow benchmark it published, including GDPVal-AA v2, despite winning the coding rows
Qwen3.8-Flash-Next
Where it leads
- Open weights you can run yourself
Best for
- Self-hosted agentic coding on limited accelerator memory
- Research on the Qwen4 architecture
Watch out for
- Alibaba calls it experimental; the hosted qwen3.8-flash API is a different, production model
- The Qwen Community License requires a separate licence before a model-as-a-service business uses it
- Native context is 262,144 tokens; 1M needs YaRN scaling
From benchmark to production
Building on Muse Spark 1.3 or Qwen3.8-Flash-Next?
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 1.3 vs Qwen3.8-Flash-Next FAQ
Do Muse Spark 1.3 and Qwen3.8-Flash-Next discount cached input?
Muse Spark 1.3 lists a cached-input rate of $0.15 per 1M tokens, 88% below its standard input rate. No cached-input rate is listed for Qwen3.8-Flash-Next.
Which scores higher on independent benchmarks, Muse Spark 1.3 or Qwen3.8-Flash-Next?
Muse Spark 1.3 leads on Arena WebDev, 1656 Elo to 1628 Elo. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, Muse Spark 1.3 or Qwen3.8-Flash-Next?
Muse Spark 1.3 has the larger context window, 1,048,576 vs 262,144 tokens.
How do Muse Spark 1.3 and Qwen3.8-Flash-Next differ in features?
Muse Spark 1.3 takes text, image, audio and video input; Qwen3.8-Flash-Next takes text, image and video.
Can I run Muse Spark 1.3 or Qwen3.8-Flash-Next myself?
Qwen3.8-Flash-Next is released as open weights you can run yourself; Muse Spark 1.3 is available through its provider's API only.
Further reading
More on Muse Spark 1.3 and Qwen3.8-Flash-Next
Related comparisons
- Claude Haiku 5.5 vs Muse Spark 1.3
- Gemini 3.8 Flash vs Qwen3.8-Flash-Next
- Mistral Large 4 vs Muse Spark 1.3
- Claude Fable 5.1 vs Qwen3.8-Flash-Next
- DeepSeek-V4-Pro vs Muse Spark 1.3
- GLM-5.3-Flash vs Qwen3.8-Flash-Next
- Gemini 3.6 Flash vs Muse Spark 1.3
- Qwen3.8-Flash-Next vs Qwen3.8-Max
- Gemini 3.8 Flash vs Muse Spark 1.3
- Grok 4.20 vs Muse Spark 1.3
- Grok 4.3 vs Muse Spark 1.3
- GPT-6.1 Terra vs Muse Spark 1.3
Production evaluation
Choosing between Muse Spark 1.3 and Qwen3.8-Flash-Next?
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