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Mellum vs GLM 4.6V

Mellum

JetBrains

19#435
vs
GLM 4.6V

Zhipu AI

22#433
Signal-by-Signal Comparison
SignalMellumDeltaGLM 4.6V
Capabilities
17
-67
83
Pricing
100
+1
99
Context window size
0
-81
81
Recency
39
-35
74
Output Capacity
20
-52
72
Overall Result
1 wins
of 5
4 wins
GLM 4.6V wins 4 of 5 signals

Score History

Score History (33 data points)
MellumGLM 4.6V
Mellum

18.6

current score

Leader

GLM 4.6V

right now

GLM 4.6V

21.5

current score

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

Mellum

JetBrains

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

GLM 4.6V

Zhipu AI

Per request$0.000750
Daily$2.50
Monthly$75.00
Annual$900.00

Mellum saves you $75.00/month

That's $900.00/year compared to GLM 4.6V at your current usage level of 100K calls/month.

100% cheaper
Choose Mellum for cost optimization

Mellum pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
GLM 4.6V pricing:
Input:$0.30/M tokens
Output:$0.90/M tokens
Mellum

JetBrains

19

Composite Score

Winner
GLM 4.6V

Zhipu AI

22

Composite Score

Signal-by-Signal Comparison
MetricMellumGLM 4.6VWinner
Overall Score
19
22
GLM 4.6V
Rank#435#433
GLM 4.6V
Quality Rank#435#433
GLM 4.6V
Adoption Rank#435#433
GLM 4.6V
Parameters------
Context Window--131K--
PricingFree$0.30/$0.90/M--
Signal Scores
Capabilities
17
83
GLM 4.6V
Pricing
100
99
Mellum
Context window size
0
81
GLM 4.6V
Recency
39
74
GLM 4.6V
Output Capacity
20
72
GLM 4.6V
Benchmark Head-to-Head(1 benchmarks)
Mellum: 0GLM 4.6V: 0
Mellum
GLM 4.6V
Normalized 0-100%
HLE
-8.32%
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.

MellumLimited

Scores 19/100 (rank #435), placing it in the top -50% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 4.6VLimited

Scores 22/100 (rank #433), placing it in the top -49% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 3-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 Mellum when you need:

  • High-volume production workloads where API costs must be minimized

Choose GLM 4.6V when you need:

  • Processing long documents or large codebases (131K token context)
  • Multimodal workflows that require image understanding
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Mellum
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00
GLM 4.6V
Input cost$0.30/M tokens
Output cost$0.90/M tokens
Cost per quality point$0.056
Est. monthly (1M tokens/day)$18.00

Compare the cost per quality point to find the best value for your specific workload.

Latency & Speed
MellumFaster
Speed score0/100
GLM 4.6V
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

Mellum

Customer support chatbot

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

Mellum

Long document analysis

Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass

GLM 4.6V

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

Mellum

Creative writing & content

Higher overall composite score (22/100) correlates with better nuance, coherence, and style in long-form content

GLM 4.6V

Image understanding & OCR

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

GLM 4.6V
Which Should You Choose?
Our recommendation:
GLM 4.6V

Mellum and GLM 4.6V are extremely close in overall performance (only 2.8999999999999986 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by JetBrains

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 100% 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
GLM 4.6V
Recommended

by Zhipu AI

Consider for specialized use cases.

Capability Comparison
CapabilityMellumGLM 4.6V
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Modediffers
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mellum

JetBrains

Best Value
$0.000000
estimated monthly cost

GLM 4.6V

Zhipu AI

$1.62
estimated monthly cost

Mellum saves you $1.62/month

That's 100% cheaper than GLM 4.6V 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
ParameterMellumGLM 4.6V
Context Window--131K
Max Output Tokens--32,768
Open SourceNoYes
CreatedJun 1, 2025Dec 8, 2025
Last updated: 10m ago

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