AI model comparison
Qwen3.8 Max (0902) vs Muse Spark 1.3
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team.
- Input / 1M
- $2
- Output / 1M
- $6
- Context
- 1M
Meta
Muse Spark 1.3
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows.
- Input / 1M
- $1.25
- Output / 1M
- $4.25
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Muse Spark 1.3
1.5x cheaper for a typical chat
Higher intelligence score
Muse Spark 1.3
48.1 vs 45.4 on Artificial Analysis
Larger context window
Muse Spark 1.3
1.05M vs 1M tokens
Newer release
Qwen3.8 Max (0902)
Released September 3, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.8 Max (0902)45.4Coding index
Qwen3.8 Max (0902)76.2Agentic index
Qwen3.8 Max (0902)56Pricing
Qwen3.8 Max (0902) vs Muse Spark 1.3 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.8 Max (0902) | |
|---|---|---|
| Input tokensPer 1M tokens | $2 | $1.25 |
| Output tokensPer 1M tokens | $6 | $4.25 |
| Cached input (read)Per 1M tokens | $0.25 | $0.15 |
| Cache writePer 1M tokens | $2.50 | Not available |
| Web searchPer request | Not available | $0.0025 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen3.8 Max (0902)$7Coding task
30K in, 4K out
Qwen3.8 Max (0902)$84$31.50 cachedLong document summary
150K in, 2K out
Qwen3.8 Max (0902)$312$49.50 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.8 Max (0902) | |
|---|---|---|
| Context window | 1M tokens | 1.05M tokens |
| Max output | 131K tokens | 944K tokens |
| Input types | Image, Text, Video | File, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, High, Medium, Low, Minimal | Max, Extra high, High, Medium, Low, Minimal |
| Default reasoning effort | Extra high | Medium |
| Release date | September 3, 2026 | September 2, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.8 Max (0902) | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Not supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3.8 Max (0902)View full model details- Qwen3.8 Max (0902) vs GPT-6 Sol
- Qwen3.8 Max (0902) vs GPT-5.6 Sol
- Qwen3.8 Max (0902) vs Grok 4.7
- Qwen3.8 Max (0902) vs MiMo-V2.6-Pro
- Qwen3.8 Max (0902) vs GLM 5.3
- Qwen3.8 Max (0902) vs Grok 4.6
- Qwen3.8 Max (0902) vs Kimi K3
- Qwen3.8 Max (0902) vs Gemini 3.8 Flash
- Qwen3.8 Max (0902) vs Qwen3.8 2.4T A95B
- Qwen3.8 Max (0902) vs DeepSeek V4.1 Flash
- Muse Spark 1.3 vs Claude Opus 5.5
- Muse Spark 1.3 vs Claude Sonnet 5.5
- Muse Spark 1.3 vs Claude Fable 5.1
- Muse Spark 1.3 vs GPT-6 Astra
- Muse Spark 1.3 vs GPT-6.1 Sol
- Muse Spark 1.3 vs Claude Opus 5
- Muse Spark 1.3 vs Claude Fable 5
- Muse Spark 1.3 vs GPT-6 Sol
- Muse Spark 1.3 vs GPT-5.6 Sol
- Muse Spark 1.3 vs Grok 4.7
- Muse Spark 1.3 vs MiMo-V2.6-Pro
- Muse Spark 1.3 vs GLM 5.3
- Muse Spark 1.3 vs Grok 4.6
- Muse Spark 1.3 vs Gemini 3.8 Flash
- Muse Spark 1.3 vs DeepSeek V4.1 Flash
Our take
Muse Spark 1.3 is 1.5x cheaper for a typical chat. Muse Spark 1.3 scores higher on the Artificial Analysis Intelligence Index (48.1 vs 45.4). Muse Spark 1.3 has the larger context window (1.05M vs 1M tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen3.8 Max (0902) or Muse Spark 1.3 cheaper?
Muse Spark 1.3 is cheaper for a typical chat (2K input tokens and 500 output tokens). Muse Spark 1.3 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens, while Qwen3.8 Max (0902) costs $2 per 1M input tokens and $6 per 1M output tokens.
Which has a bigger context window, Qwen3.8 Max (0902) or Muse Spark 1.3?
Muse Spark 1.3 supports up to 1.05M tokens of context, compared with 1M for Qwen3.8 Max (0902).
Is Qwen3.8 Max (0902) smarter than Muse Spark 1.3?
On the Artificial Analysis Intelligence Index, Qwen3.8 Max (0902) scores 45.4 and Muse Spark 1.3 scores 48.1, putting Muse Spark 1.3 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.8 Max (0902) and Muse Spark 1.3 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.8 Max (0902) and Muse Spark 1.3 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.8 Max (0902) and Muse Spark 1.3 at the same time. Compare the answers side by side and keep the best one.