Ember-1 vs Muse Glimmer 30B
Muse Glimmer 30B costs 11.1x less per output token than Ember-1 ($1.35 vs $15.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- 52.6
- Overall
- No data
- Output $/M
- $15.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.35
Ember-1 or Muse Glimmer 30B: which to pick
Only Ember-1 has a coding score, 52.6 on the Vibe Coding Index; Muse Glimmer 30B has none, so the two cannot be ranked on coding.
Pick Muse Glimmer 30B for output tokens 11.1x cheaper ($1.35 vs $15.00 per million).
No benchmark has tested both yet. Ember-1 has results on Terminal-Bench 4 (Vals AI), Vibe Code Bench (Vals AI) and Code migration (Vals AI); Muse Glimmer 30B on AA Coding Index, ALE-Bench and AA Intelligence Index. Compare them on price and context instead.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Ember-1 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Muse Glimmer 30B has a AA Intelligence Index result, 17.5.
Directional only
Agentic work
AA Agentic Index
No call
Only Muse Glimmer 30B has a AA Agentic Index result, 8.5.
Directional only
Long documents
Listed context window
Ember-1
Ember-1 takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Glimmer 30B
Ember-1 $0.011, Muse Glimmer 30B $0.0010 per turn.
List prices
At a glance
- Coding index
- Ember-1 52.6 from 2 benchmarks, Muse Glimmer 30B not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Ember-1 $15.00 against Muse Glimmer 30B $1.35 per million output tokens, 11.1x apart.
- Context window
- Ember-1 takes 1.05M tokens, Muse Glimmer 30B 131K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index7 boards measured
| Benchmark | Ember-1 | Muse Glimmer 30B | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 49.0 | Only Muse Glimmer 30B measured |
| Terminal-Bench 4 (Vals AI) | 20.7% | Not measured | Only Ember-1 measured |
| Vibe Code Bench (Vals AI) | 83.9% | Not measured | Only Ember-1 measured |
| Code migration (Vals AI) | 32.5% | Not measured | Only Ember-1 measured |
| IOI (Vals AI) | 46.3% | Not measured | Only Ember-1 measured |
| CyberBench (Vals AI) | 69.5% | Not measured | Only Ember-1 measured |
| ALE-Bench | Not measured | 962.5 | Only Muse Glimmer 30B measured |
| Neither model has a result on the other 32 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Ember-1 | Muse Glimmer 30B | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 17.5 | Only Muse Glimmer 30B measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | Ember-1 | Muse Glimmer 30B | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 8.5 | Only Muse Glimmer 30B measured |
| Finance Agent (Vals AI) | 51.8% | Not measured | Only Ember-1 measured |
| Tax Agent Bench (Vals AI) | 31.1% | Not measured | Only Ember-1 measured |
| Legal Research Bench (Vals AI) | 44.7% | Not measured | Only Ember-1 measured |
| Excel Modeling Benchmark (Vals AI) | 63.4% | Not measured | Only Ember-1 measured |
| BioMysteryBench (Vals AI) | 67.0% | Not measured | Only Ember-1 measured |
| Terminal-Bench-Science (Vals AI) | 5.7% | Not measured | Only Ember-1 measured |
| Vals Science Index | 31.8% | Not measured | Only Ember-1 measured |
| Neither model has a result on the other 33 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Ember-1 | Muse Glimmer 30B | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | 22.5% | Not measured | Only Ember-1 measured |
| Neither model has a result on the other 21 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Ember-1 | Muse Glimmer 30B | Leader |
|---|---|---|---|
| Design Arena: game dev | Not measured | 1144 | Only Muse Glimmer 30B measured |
| Neither model has a result on the other 8 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Ember-1 | Muse Glimmer 30B | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 66.2% | Not measured | Only Ember-1 measured |
| Neither model has a result on the other 45 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Muse Glimmer 30B costs less
Repository review
50K input + 3K output tokens
Muse Glimmer 30B costs less
Agent loop
200K input + 10K output tokens
Muse Glimmer 30B costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Fireworks Ember-1 | Meta Muse Glimmer 30B |
|---|---|---|
| Maker | Fireworks | Meta |
| Weights | No public weights listed | Open weights |
| Released | September 24, 2026 | August 9, 2026 |
| Context window | 1.05M | 131K |
| Input $/Mtok | $3.00 | $0.325 |
| Output $/Mtok | $15.00 | $1.35 |
| Coding index | 52.6 | Not benchmarked |
| Independent measurements behind it | 2 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Ember-1 better than Muse Glimmer 30B for coding?
Only Ember-1 has a coding score, 52.6 on the Vibe Coding Index; Muse Glimmer 30B has none, so the two cannot be ranked on coding. Pick Muse Glimmer 30B for output tokens 11.1x cheaper ($1.35 vs $15.00 per million).
Which is cheaper, Ember-1 or Muse Glimmer 30B?
Ember-1 costs $3.00 per million input tokens and $15.00 per million output tokens; Muse Glimmer 30B costs $0.325 and $1.35. Cost per solved task is known for neither of them.
Which has the bigger context window, Ember-1 or Muse Glimmer 30B?
Ember-1, with 1.05M tokens against 131K.
Has any benchmark tested both Ember-1 and Muse Glimmer 30B?
No benchmark has tested both yet. Ember-1 has results on Terminal-Bench 4 (Vals AI), Vibe Code Bench (Vals AI) and Code migration (Vals AI); Muse Glimmer 30B on AA Coding Index, ALE-Bench and AA Intelligence Index. Compare them on price and context instead. Data as of October 22, 2026.