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DeepSeek V3 vs GLM 5

DeepSeek V3

DeepSeek

70#116
vs
GLM 5

Zhipu AI

78#73
Signal-by-Signal Comparison
SignalDeepSeek V3DeltaGLM 5
Capabilities
50
-17
67
Benchmarks
70
-10
81
Pricing
99
+2
98
Context window size
83
-1
84
Recency
28
-72
100
Output Capacity
70
-15
85
Overall Result
1 wins
of 6
5 wins
GLM 5 wins 5 of 6 signals

Score History

Score History (24 data points)
DeepSeek V3GLM 5
DeepSeek V3

69.5

current score

Leader

GLM 5

right now

GLM 5

78

current score

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

DeepSeek V3

DeepSeek

Best Value
Per request$0.000600
Daily$2.00
Monthly$60.02
Annual$720.30

GLM 5

Zhipu AI

Per request$0.002225
Daily$7.42
Monthly$222.50
Annual$2670.00

DeepSeek V3 saves you $162.47/month

That's $1949.70/year compared to GLM 5 at your current usage level of 100K calls/month.

73% cheaper
Choose DeepSeek V3 for cost optimization

DeepSeek V3 pricing:
Input:$0.20/M tokens
Output:$0.80/M tokens
GLM 5 pricing:
Input:$0.95/M tokens
Output:$2.55/M tokens
DeepSeek V3

DeepSeek

70

Composite Score

Winner
GLM 5

Zhipu AI

78

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V3GLM 5Winner
Overall Score
70
78
GLM 5
Rank#116#73
GLM 5
Quality Rank#116#73
GLM 5
Adoption Rank#116#73
GLM 5
Parameters------
Context Window164K205K
GLM 5
Pricing$0.20/$0.80/M$0.95/$2.55/M--
Signal Scores
Capabilities
50
67
GLM 5
Benchmarks
70
81
GLM 5
Pricing
99
98
DeepSeek V3
Context window size
83
84
GLM 5
Recency
28
100
GLM 5
Output Capacity
70
85
GLM 5
Benchmark Head-to-Head(13 benchmarks)
DeepSeek V3: 0GLM 5: 2
DeepSeek V3
GLM 5
Normalized 0-100%
MMLU
88.5%-
MMLU-Pro
75.9%86%
GPQA Diamond
59.1%-
MATH-500
90.2%-
HumanEval
82.6%-
SWE-bench Verified
42%-
AIME 2024
39.2%-
GSM8K
96.7%-
IFEval
87.1%-
BBH
87.5%-
Arena Elo
13181457
LiveBench
60.4%-
BigCodeBench
50%-
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.

DeepSeek V3Competitive

Scores 70/100 (rank #116), placing it in the top 60% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5Strong Performer

Scores 78/100 (rank #73), placing it in the top 75% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GLM 5 has a 9-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose DeepSeek V3 when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model

Choose GLM 5 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
DeepSeek V3Best Value
Input cost$0.20/M tokens
Output cost$0.80/M tokens
Cost per quality point$0.014
Est. monthly (1M tokens/day)$15.00
GLM 5
Input cost$0.95/M tokens
Output cost$2.55/M tokens
Cost per quality point$0.045
Est. monthly (1M tokens/day)$52.50

DeepSeek V3 offers 71% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with DeepSeek V3 vs $52.50/month with GLM 5 - a $37.50 monthly difference.

Latency & Speed
DeepSeek V3Faster
Speed score0/100
GLM 5
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

DeepSeek V3

Customer support chatbot

Suitable for user-facing chat with competitive response times. DeepSeek V3 also offers lower per-token costs for high-volume support

DeepSeek V3

Long document analysis

Larger context window (205K tokens) can process longer documents, contracts, and research papers in a single pass

GLM 5

Batch data extraction

Lower output pricing ($0.80/M) reduces costs when processing thousands of records daily

DeepSeek V3

Creative writing & content

Higher overall composite score (78/100) correlates with better nuance, coherence, and style in long-form content

GLM 5
Which Should You Choose?
Our recommendation:
GLM 5

GLM 5 has a moderate advantage with a 8.5-point lead in composite score. It wins on more signal dimensions, but DeepSeek V3 has specific strengths that could make it the better choice for certain workflows.

by DeepSeek

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 71% 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 5
Recommended

by Zhipu AI

Consider for specialized use cases.

Capability Comparison
CapabilityDeepSeek V3GLM 5
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

DeepSeek V3

DeepSeek

Best Value
$1.32
estimated monthly cost

GLM 5

Zhipu AI

$4.77
estimated monthly cost

DeepSeek V3 saves you $3.45/month

That's 72% cheaper than GLM 5 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
ParameterDeepSeek V3GLM 5
Context Window164K205K
Max Output Tokens16,000131,072
Open SourceYesYes
CreatedDec 26, 2024Feb 11, 2026
Last updated: 57m ago

相关对比

DeepSeek V3 vs GLM 5 (2026) | LM Market Cap