AI model comparison
Muse Glimmer 30B vs MiniMax M2
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
MiniMax
MiniMax M2
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows.
- Input / 1M
- $0.30
- Output / 1M
- $1.20
- Context
- 205K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Tie
Same price for a typical chat
Higher intelligence score
MiniMax M2
18.6 vs 17.5 on Artificial Analysis
Larger context window
MiniMax M2
205K 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
Coding index
Agentic index
Pricing
Muse Glimmer 30B vs MiniMax M2 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.30 | $0.30 |
| Output tokensPer 1M tokens | $1.20 | $1.20 |
| 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
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 131K tokens | 205K tokens |
| Max output | 16K tokens | 177K tokens |
| Input types | Image, Text | Text |
| 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 | October 23, 2025 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| 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 |
Our take
MiniMax M2 scores higher on the Artificial Analysis Intelligence Index (18.6 vs 17.5). MiniMax M2 has the larger context window (205K 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 MiniMax M2 cheaper?
Muse Glimmer 30B and MiniMax M2 cost the same 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, and MiniMax M2 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens.
Which has a bigger context window, Muse Glimmer 30B or MiniMax M2?
MiniMax M2 supports up to 205K tokens of context, compared with 131K for Muse Glimmer 30B.
Is Muse Glimmer 30B smarter than MiniMax M2?
On the Artificial Analysis Intelligence Index, Muse Glimmer 30B scores 17.5 and MiniMax M2 scores 18.6, putting MiniMax M2 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Muse Glimmer 30B and MiniMax M2 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Muse Glimmer 30B and MiniMax M2 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Muse Glimmer 30B and MiniMax M2 at the same time. Compare the answers side by side and keep the best one.