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DeepSeek V4.1 Flash 1017 vs Muse Glimmer 30B

DeepSeek V4.1 Flash 1017 leads Muse Glimmer 30B on the Artificial Analysis Intelligence Index, 39.5 to 17.5, and DeepSeek V4.1 Flash 1017 costs 2.3x less per output token ($0.60 vs $1.35 per million). Updated October 22, 2026; 3 benchmarks have a result for both.

DeepSeek V4.1 Flash 1017DeepSeek
Coding
70.3
Overall
67.6
Output $/M
$0.60
3
Muse Glimmer 30BMeta
Coding
No data
Overall
No data
Output $/M
$1.35
0
vs boards won of 3 shared

DeepSeek V4.1 Flash 1017 or Muse Glimmer 30B: which to pick

Only DeepSeek V4.1 Flash 1017 has a coding score, 70.3 on the Vibe Coding Index; Muse Glimmer 30B has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
3
DeepSeek V4.1 Flash 1017 only
36
Muse Glimmer 30B only
2
Like-for-like categories
3 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
DeepSeek V4.1 Flash 1017 70.3 from 4 benchmarks, Muse Glimmer 30B not benchmarked.
Widest category
Web design, 26.6 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: game dev: DeepSeek V4.1 Flash 1017 1357 against Muse Glimmer 30B 1144, 26.6 points apart on a 0 to 100 scale.
Output price
DeepSeek V4.1 Flash 1017 $0.60 against Muse Glimmer 30B $1.35 per million output tokens, 2.3x apart.
Context window
DeepSeek V4.1 Flash 1017 takes 1.05M 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
CategoryDeepSeek V4.1 Flash 1017BarsMuse Glimmer 30BTies
Coding10
Intelligence10
Web design10
All shared boards30
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for DeepSeek V4.1 Flash 1017 and Muse Glimmer 30B
BenchmarkDeepSeek V4.1 Flash 1017Muse Glimmer 30BLeader
LiveBench coding96.0%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LMArena WebDev1664Not measuredOnly DeepSeek V4.1 Flash 1017 measured
AA Coding IndexNot measured49.0Only Muse Glimmer 30B measured
Terminal-Bench 4 (Vals AI)31.8%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Vibe Code Bench (Vals AI)87.7%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Code migration (Vals AI)44.2%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
SciCode55.9%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
ALE-Bench1622.0962.5DeepSeek V4.1 Flash 1017
LMArena WebDev: React1667Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LMArena WebDev: HTML1687Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4.1 Flash 1017 and Muse Glimmer 30B
BenchmarkDeepSeek V4.1 Flash 1017Muse Glimmer 30BLeader
AA Intelligence Index39.517.5DeepSeek V4.1 Flash 1017
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Agentic work benchmarks for DeepSeek V4.1 Flash 1017 and Muse Glimmer 30B
BenchmarkDeepSeek V4.1 Flash 1017Muse Glimmer 30BLeader
AA Agentic IndexNot measured8.5Only Muse Glimmer 30B measured
Design Arena: spreadsheets1245Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LiveBench research79.5%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LiveBench browser76.0%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LiveBench long agentic50.9%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Finance Agent (Vals AI)57.0%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Tax Agent Bench (Vals AI)44.4%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Legal Research Bench (Vals AI)45.2%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Harvey's Legal Agent Benchmark (Vals AI)14.2%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Excel Modeling Benchmark (Vals AI)61.8%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 31 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Reasoning benchmarks for DeepSeek V4.1 Flash 1017 and Muse Glimmer 30B
BenchmarkDeepSeek V4.1 Flash 1017Muse Glimmer 30BLeader
LiveBench reasoning89.1%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Humanity's Last Exam (Artificial Analysis run)43.3%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
GPQA Diamond (Epoch AI run)93.2%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Chess puzzles46.0%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Mystery game puzzles49.0%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for DeepSeek V4.1 Flash 1017 and Muse Glimmer 30B
BenchmarkDeepSeek V4.1 Flash 1017Muse Glimmer 30BLeader
OTIS Mock AIME99.4%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
FrontierMath, tiers 1 to 371.2%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
FrontierMath, tier 446.3%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for DeepSeek V4.1 Flash 1017 and Muse Glimmer 30B
BenchmarkDeepSeek V4.1 Flash 1017Muse Glimmer 30BLeader
SimpleQA Verified42.5%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 17 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index10
Web design benchmarks for DeepSeek V4.1 Flash 1017 and Muse Glimmer 30B
BenchmarkDeepSeek V4.1 Flash 1017Muse Glimmer 30BLeader
Design Arena: websites1311Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Design Arena: UI components1303Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Design Arena: game dev13571144DeepSeek V4.1 Flash 1017
Design Arena: data viz1330Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Design Arena: 3D1358Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Design Arena: all code categories1332Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Design Arena: ASCII art1242Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LiveBench design83.4%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
General benchmarks for DeepSeek V4.1 Flash 1017 and Muse Glimmer 30B
BenchmarkDeepSeek V4.1 Flash 1017Muse Glimmer 30BLeader
Vals Index61.3%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LiveBench data analysis79.5%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Long context reasoning (AA-LCR)82.7%Not measuredOnly DeepSeek V4.1 Flash 1017 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 DeepSeek V4.1 Flash 1017 and Muse Glimmer 30B
BenchmarkDeepSeek V4.1 Flash 1017Muse 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

DeepSeek V4.1 Flash 1017$0.0004Fits in one request
Muse Glimmer 30B$0.0010Fits in one request

DeepSeek V4.1 Flash 1017 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4.1 Flash 1017$0.0093Fits in one request
Muse Glimmer 30B$0.020Fits in one request

DeepSeek V4.1 Flash 1017 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4.1 Flash 1017$0.036Fits in one request
Muse Glimmer 30B$0.079Exceeds the context window

DeepSeek V4.1 Flash 1017 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 DeepSeek V4.1 Flash 1017 and Muse Glimmer 30B
SpecificationDeepSeek V4.1 Flash 1017Meta Muse Glimmer 30B
MakerDeepSeekMeta
WeightsOpen weightsOpen weights
ReleasedOctober 17, 2026August 9, 2026
Context window1.05M131K
Input $/Mtok$0.15$0.325
Output $/Mtok$0.60$1.35
Coding index70.3Not benchmarked
Independent measurements behind it40
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4.1 Flash 1017 better than Muse Glimmer 30B for coding?

Only DeepSeek V4.1 Flash 1017 has a coding score, 70.3 on the Vibe Coding Index; Muse Glimmer 30B has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, DeepSeek V4.1 Flash 1017 or Muse Glimmer 30B?

DeepSeek V4.1 Flash 1017 costs $0.15 per million input tokens and $0.60 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, DeepSeek V4.1 Flash 1017 or Muse Glimmer 30B?

DeepSeek V4.1 Flash 1017, with 1.05M tokens against 131K.

How many benchmarks is the DeepSeek V4.1 Flash 1017 vs Muse Glimmer 30B comparison based on?

3 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4.1 Flash 1017's coding index rests on 4 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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