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Mercury 2.5 vs Muse Glimmer 30B

Muse Glimmer 30B leads Mercury 2.5 on the Artificial Analysis Intelligence Index, 17.5 to 12.3, and Mercury 2.5 costs 9.0x less per output token ($0.15 vs $1.35 per million). Updated October 22, 2026; 2 benchmarks have a result for both.

Mercury 2.5Inception
Coding
1.6
Overall
No data
Output $/M
$0.15
0
Muse Glimmer 30BMeta
Coding
No data
Overall
No data
Output $/M
$1.35
2
vs boards won of 2 shared

Mercury 2.5 or Muse Glimmer 30B: which to pick

Only Mercury 2.5 has a coding score, 1.6 on the Vibe Coding Index; Muse Glimmer 30B has none, so the two cannot be ranked on coding.

Pick Muse Glimmer 30B for work measured by ALE-Bench or AA Intelligence Index, where it leads.

Shared results
2
Mercury 2.5 only
20
Muse Glimmer 30B only
3
Like-for-like categories
2 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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.

At a glance

Coding index
Mercury 2.5 1.6 from 2 benchmarks, Muse Glimmer 30B not benchmarked.
Widest category
Coding, 22.0 points apart on average over 1 shared benchmark.
Widest single gap
ALE-Bench: Mercury 2.5 301.6 against Muse Glimmer 30B 962.5, 22.0 points apart on a 0 to 100 scale.
Output price
Mercury 2.5 $0.15 against Muse Glimmer 30B $1.35 per million output tokens, 9.0x apart.
Context window
Mercury 2.5 takes 260K tokens, Muse Glimmer 30B 131K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryMercury 2.5BarsMuse Glimmer 30BTies
Coding01
Intelligence01
All shared boards02
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Mercury 2.5 and Muse Glimmer 30B
BenchmarkMercury 2.5Muse Glimmer 30BLeader
AA Coding IndexNot measured49.0Only Muse Glimmer 30B measured
Terminal-Bench 4 (Vals AI)0.0%Not measuredOnly Mercury 2.5 measured
Vibe Code Bench (Vals AI)3.7%Not measuredOnly Mercury 2.5 measured
Code migration (Vals AI)4.5%Not measuredOnly Mercury 2.5 measured
IOI (Vals AI)2.4%Not measuredOnly Mercury 2.5 measured
Terminal-Bench 2.1 (Vals AI)34.5%Not measuredOnly Mercury 2.5 measured
SkillsBench (Vals AI)18.1%Not measuredOnly Mercury 2.5 measured
CyberBench (Vals AI)45.5%Not measuredOnly Mercury 2.5 measured
SciCode38.5%Not measuredOnly Mercury 2.5 measured
ALE-Bench301.6962.5Muse Glimmer 30B
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mercury 2.5 and Muse Glimmer 30B
BenchmarkMercury 2.5Muse Glimmer 30BLeader
AA Intelligence Index12.317.5Muse Glimmer 30B
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for Mercury 2.5 and Muse Glimmer 30B
BenchmarkMercury 2.5Muse Glimmer 30BLeader
AA Agentic IndexNot measured8.5Only Muse Glimmer 30B measured
Finance Agent (Vals AI)18.9%Not measuredOnly Mercury 2.5 measured
Tax Agent Bench (Vals AI)2.5%Not measuredOnly Mercury 2.5 measured
Legal Research Bench (Vals AI)4.3%Not measuredOnly Mercury 2.5 measured
Excel Modeling Benchmark (Vals AI)8.8%Not measuredOnly Mercury 2.5 measured
Terminal-Bench-Science (Vals AI)0.0%Not measuredOnly Mercury 2.5 measured
Neither model has a result on the other 35 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Reasoning benchmarks for Mercury 2.5 and Muse Glimmer 30B
BenchmarkMercury 2.5Muse Glimmer 30BLeader
Humanity's Last Exam (Artificial Analysis run)11.8%Not measuredOnly Mercury 2.5 measured
Neither model has a result on the other 21 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Math benchmarks for Mercury 2.5 and Muse Glimmer 30B
BenchmarkMercury 2.5Muse Glimmer 30BLeader
ProofBench3.0%Not measuredOnly Mercury 2.5 measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Knowledge benchmarks for Mercury 2.5 and Muse Glimmer 30B
BenchmarkMercury 2.5Muse Glimmer 30BLeader
LegalBench (Vals AI)83.1%Not measuredOnly Mercury 2.5 measured
MedCode (Vals AI)31.3%Not measuredOnly Mercury 2.5 measured
Neither model has a result on the other 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for Mercury 2.5 and Muse Glimmer 30B
BenchmarkMercury 2.5Muse Glimmer 30BLeader
Design Arena: game devNot measured1131Only 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 index3 boards, none shared
General benchmarks for Mercury 2.5 and Muse Glimmer 30B
BenchmarkMercury 2.5Muse Glimmer 30BLeader
Public Benefits Bench (Vals AI)45.3%Not measuredOnly Mercury 2.5 measured
MedScribe (Vals AI)55.1%Not measuredOnly Mercury 2.5 measured
Long context reasoning (AA-LCR)71.7%Not measuredOnly Mercury 2.5 measured
Neither model has a result on the other 43 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mercury 2.5 and Muse Glimmer 30B
BenchmarkMercury 2.5Muse Glimmer 30BLeader
Neither model has a result on 5 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

Mercury 2.5$0.0001Fits in one request
Muse Glimmer 30B$0.0010Fits in one request

Mercury 2.5 costs less

Repository review

50K input + 3K output tokens

Mercury 2.5$0.0024Fits in one request
Muse Glimmer 30B$0.020Fits in one request

Mercury 2.5 costs less

Agent loop

200K input + 10K output tokens

Mercury 2.5$0.0095Fits in one request
Muse Glimmer 30B$0.079Exceeds the context window

Mercury 2.5 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.

Specifications of Mercury 2.5 and Muse Glimmer 30B
SpecificationInception Mercury 2.5Meta Muse Glimmer 30B
MakerInceptionMeta
WeightsNo public weights listedOpen weights
ReleasedSeptember 8, 2026August 9, 2026
Context window260K131K
Input $/Mtok$0.04$0.325
Output $/Mtok$0.15$1.35
Coding index1.6Not benchmarked
Independent measurements behind it20
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mercury 2.5 better than Muse Glimmer 30B for coding?

Only Mercury 2.5 has a coding score, 1.6 on the Vibe Coding Index; Muse Glimmer 30B has none, so the two cannot be ranked on coding. Pick Muse Glimmer 30B for work measured by ALE-Bench or AA Intelligence Index, where it leads.

Which is cheaper, Mercury 2.5 or Muse Glimmer 30B?

Mercury 2.5 costs $0.04 per million input tokens and $0.15 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, Mercury 2.5 or Muse Glimmer 30B?

Mercury 2.5, with 260K tokens against 131K.

How many benchmarks is the Mercury 2.5 vs Muse Glimmer 30B comparison based on?

2 benchmarks have a result for both models as of October 22, 2026. Mercury 2.5's coding index rests on 2 independent benchmarks and Muse Glimmer 30B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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