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Muse Ember vs GLM 5 Turbo

Muse Ember

meta

40#154
vs
GLM 5 Turbo

Zhipu AI

40#336
Signal-by-Signal Comparison
SignalMuse EmberDeltaGLM 5 Turbo
Capabilities
100
+33
67
Pricing
100
+4
96
Context window size
96
+11
84
Recency
100
+11
89
Output Capacity
96
+14
82
Overall Result
5 wins
of 5
0 wins
Muse Ember wins 5 of 5 signals

Score History

Score History (34 data points)
Muse EmberGLM 5 Turbo
Muse Ember

40

current score

Leader

Tied

right now

GLM 5 Turbo

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Muse Ember

meta

Best Value
Per request$0.000350
Daily$1.17
Monthly$35.00
Annual$420.00

GLM 5 Turbo

Zhipu AI

Per request$0.003200
Daily$10.67
Monthly$320.00
Annual$3840.00

Muse Ember saves you $285.00/month

That's $3420.00/year compared to GLM 5 Turbo at your current usage level of 100K calls/month.

89% cheaper
Choose Muse Ember for cost optimization

Muse Ember pricing:
Input:$0.10/M tokens
Output:$0.50/M tokens
GLM 5 Turbo pricing:
Input:$1.20/M tokens
Output:$4.00/M tokens
Tie
Muse Ember

meta

40

Composite Score

Tie
GLM 5 Turbo

Zhipu AI

40

Composite Score

Signal-by-Signal Comparison
MetricMuse EmberGLM 5 TurboWinner
Overall Score
40
40
--
Rank#154#336
Muse Ember
Quality Rank#154#336
Muse Ember
Adoption Rank#154#336
Muse Ember
Parameters------
Context Window1049K203K
Muse Ember
Pricing$0.10/$0.50/M$1.20/$4.00/M--
Signal Scores
Capabilities
100
67
Muse Ember
Pricing
100
96
Muse Ember
Context window size
96
84
Muse Ember
Recency
100
89
Muse Ember
Output Capacity
96
82
Muse Ember
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Muse EmberEntry Level

Scores 40/100 (rank #154), placing it in the top 47% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5 TurboEntry Level

Scores 40/100 (rank #336), placing it in the top -16% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Muse Ember when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1049K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GLM 5 Turbo when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Muse EmberBest Value
Input cost$0.10/M tokens
Output cost$0.50/M tokens
Cost per quality point$0.015
Est. monthly (1M tokens/day)$9.00
GLM 5 Turbo
Input cost$1.20/M tokens
Output cost$4.00/M tokens
Cost per quality point$0.130
Est. monthly (1M tokens/day)$78.00

Muse Ember offers 88% better value per quality point. At 1M tokens/day, you'd spend $9.00/month with Muse Ember vs $78.00/month with GLM 5 Turbo - a $69.00 monthly difference.

Latency & Speed
Muse EmberFaster
Speed score0/100
GLM 5 Turbo
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Muse Ember

Customer support chatbot

Suitable for user-facing chat with competitive response times. Muse Ember also offers lower per-token costs for high-volume support

Muse Ember

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Muse Ember

Batch data extraction

Lower output pricing ($0.50/M) reduces costs when processing thousands of records daily

Muse Ember

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Muse Ember

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Muse Ember
Which Should You Choose?
Our recommendation:
Muse Ember

Muse Ember and GLM 5 Turbo are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Muse Ember
Recommended

by meta

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 88% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Zhipu AI

Consider for specialized use cases.

Capability Comparison
CapabilityMuse EmberGLM 5 Turbo
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Muse Ember

meta

Best Value
$0.7800
estimated monthly cost

GLM 5 Turbo

Zhipu AI

$6.96
estimated monthly cost

Muse Ember saves you $6.18/month

That's 89% cheaper than GLM 5 Turbo at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterMuse EmberGLM 5 Turbo
Context Window1.0M203K
Max Output Tokens943,718131,072
Open SourceNoNo
CreatedNov 9, 2026Mar 15, 2026
Last updated: 9m ago

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