AI model comparison
Muse Glimmer 30B vs Qwen3.5-122B-A10B
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Meta
Muse Glimmer 30B
Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware.
- Input / 1M
- $0.30
- Output / 1M
- $1.20
- Context
- 131K
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.
- Input / 1M
- $0.26
- Output / 1M
- $2.08
- Context
- 262K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Muse Glimmer 30B
1.3x cheaper for a typical chat
Higher intelligence score
Qwen3.5-122B-A10B
17.7 vs 17.5 on Artificial Analysis
Larger context window
Qwen3.5-122B-A10B
262K vs 131K tokens
Newer release
Muse Glimmer 30B
Released August 9, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.5-122B-A10B17.7Coding index
Qwen3.5-122B-A10B43.3Agentic index
Qwen3.5-122B-A10BNot availablePricing
Muse Glimmer 30B vs Qwen3.5-122B-A10B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.5-122B-A10B | |
|---|---|---|
| Input tokensPer 1M tokens | $0.30 | $0.26 |
| Output tokensPer 1M tokens | $1.20 | $2.08 |
| Cached input (read)Per 1M tokens | $0.04 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
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
Qwen3.5-122B-A10B$1.56Coding task
30K in, 4K out
Qwen3.5-122B-A10B$16.12Long document summary
150K in, 2K out
Qwen3.5-122B-A10B$43.16Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.5-122B-A10B | |
|---|---|---|
| Context window | 131K tokens | 262K tokens |
| Max output | 16K tokens | 66K tokens |
| Input types | Image, Text | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, High, Medium, Low | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | August 9, 2026 | February 25, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.5-122B-A10B | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | 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.
- Muse Glimmer 30B vs DeepSeek V4 Flash 0423
- Muse Glimmer 30B vs Gemini 3.1 Flash Lite
- Muse Glimmer 30B vs Gemini 2.5 Flash
- Muse Glimmer 30B vs Step 3.7 Flash
- Muse Glimmer 30B vs GPT-5.4 Nano
- Muse Glimmer 30B vs Qwen3.5-35B-A3B
- Muse Glimmer 30B vs LongCat 2.0
- Muse Glimmer 30B vs MiniMax M2
- Muse Glimmer 30B vs GLM 4.6
- Muse Glimmer 30B vs Qwen3.6 35B A3B
Qwen3.5-122B-A10BView full model details- Qwen3.5-122B-A10B vs Qwen3.5 397B A17B
- Qwen3.5-122B-A10B vs Qwen3.6 27B
- Qwen3.5-122B-A10B vs GPT-5 Mini
- Qwen3.5-122B-A10B vs Qwen3.5-35B-A3B
- Qwen3.5-122B-A10B vs GLM 4.6
- Qwen3.5-122B-A10B vs Qwen3.6 35B A3B
- Qwen3.5-122B-A10B vs Gemini 3.1 Flash Lite
- Qwen3.5-122B-A10B vs Claude Haiku 4.5
- Qwen3.5-122B-A10B vs Gemini 2.5 Flash
- Qwen3.5-122B-A10B vs Kimi K2 0905
Our take
Muse Glimmer 30B is 1.3x cheaper for a typical chat. Qwen3.5-122B-A10B scores higher on the Artificial Analysis Intelligence Index (17.7 vs 17.5). Qwen3.5-122B-A10B has the larger context window (262K vs 131K 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 Muse Glimmer 30B or Qwen3.5-122B-A10B cheaper?
Muse Glimmer 30B is cheaper for a typical chat (2K input tokens and 500 output tokens). Muse Glimmer 30B costs $0.30 per 1M input tokens and $1.20 per 1M output tokens, while Qwen3.5-122B-A10B costs $0.26 per 1M input tokens and $2.08 per 1M output tokens.
Which has a bigger context window, Muse Glimmer 30B or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B supports up to 262K tokens of context, compared with 131K for Muse Glimmer 30B.
Is Muse Glimmer 30B smarter than Qwen3.5-122B-A10B?
On the Artificial Analysis Intelligence Index, Muse Glimmer 30B scores 17.5 and Qwen3.5-122B-A10B scores 17.7, putting Qwen3.5-122B-A10B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Muse Glimmer 30B and Qwen3.5-122B-A10B at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Muse Glimmer 30B and Qwen3.5-122B-A10B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Muse Glimmer 30B and Qwen3.5-122B-A10B at the same time. Compare the answers side by side and keep the best one.