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DeepSeek V3 vs GLM 4.5 Air

DeepSeek V3

DeepSeek

70#116
vs
GLM 4.5 Air

Zhipu AI

71#114
Signal-by-Signal Comparison
SignalDeepSeek V3DeltaGLM 4.5 Air
Capabilities
50
--
50
Benchmarks
70
-2
72
Pricing
99
--
99
Context window size
83
+2
81
Recency
28
-38
66
Output Capacity
70
-13
83
Overall Result
1 wins
of 6
3 wins
GLM 4.5 Air wins 3 of 6 signals

Score History

Score History (24 data points)
DeepSeek V3GLM 4.5 Air
DeepSeek V3

69.5

current score

Leader

GLM 4.5 Air

right now

GLM 4.5 Air

70.7

current score

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

DeepSeek V3

DeepSeek

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

GLM 4.5 Air

Zhipu AI

Best Value
Per request$0.000555
Daily$1.85
Monthly$55.50
Annual$666.00

GLM 4.5 Air saves you $4.53/month

That's $54.30/year compared to DeepSeek V3 at your current usage level of 100K calls/month.

8% cheaper
Choose GLM 4.5 Air for cost optimization

DeepSeek V3 pricing:
Input:$0.20/M tokens
Output:$0.80/M tokens
GLM 4.5 Air pricing:
Input:$0.13/M tokens
Output:$0.85/M tokens
DeepSeek V3

DeepSeek

70

Composite Score

Winner
GLM 4.5 Air

Zhipu AI

71

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V3GLM 4.5 AirWinner
Overall Score
70
71
GLM 4.5 Air
Rank#116#114
GLM 4.5 Air
Quality Rank#116#114
GLM 4.5 Air
Adoption Rank#116#114
GLM 4.5 Air
Parameters------
Context Window164K131K
DeepSeek V3
Pricing$0.20/$0.80/M$0.13/$0.85/M--
Signal Scores
Capabilities
50
50
DeepSeek V3
Benchmarks
70
72
GLM 4.5 Air
Pricing
99
99
DeepSeek V3
Context window size
83
81
DeepSeek V3
Recency
28
66
GLM 4.5 Air
Output Capacity
70
83
GLM 4.5 Air
Benchmark Head-to-Head(13 benchmarks)
DeepSeek V3: 0GLM 4.5: 2
DeepSeek V3
GLM 4.5
Normalized 0-100%
MMLU
88.5%-
MMLU-Pro
75.9%81.4%
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
13181373
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 4.5 AirStrong Performer

Scores 71/100 (rank #114), placing it in the top 61% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-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 DeepSeek V3 when you need:

  • Self-hosted deployments where you need full control over the model

Choose GLM 4.5 Air 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 V3
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 4.5 AirBest Value
Input cost$0.13/M tokens
Output cost$0.85/M tokens
Cost per quality point$0.014
Est. monthly (1M tokens/day)$14.70

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
DeepSeek V3Faster
Speed score0/100
GLM 4.5 Air
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 (164K tokens) can process longer documents, contracts, and research papers in a single pass

DeepSeek V3

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 (71/100) correlates with better nuance, coherence, and style in long-form content

GLM 4.5 Air
Which Should You Choose?
Our recommendation:
GLM 4.5 Air

DeepSeek V3 and GLM 4.5 Air are extremely close in overall performance (only 1.2000000000000028 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by DeepSeek

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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 4.5 Air
Recommended

by Zhipu AI

  • Choose for Cost - 2% lower pricing; better value at scale
Capability Comparison
CapabilityDeepSeek V3GLM 4.5 Air
Vision (Image Input)
Function Calling
Streaming
JSON Modediffers
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

DeepSeek V3

DeepSeek

$1.32
estimated monthly cost

GLM 4.5 Air

Zhipu AI

Best Value
$1.25
estimated monthly cost

GLM 4.5 Air saves you $0.0665/month

That's 5% cheaper than DeepSeek V3 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 4.5 Air
Context Window164K131K
Max Output Tokens16,00098,304
Open SourceYesYes
CreatedDec 26, 2024Jul 25, 2025
Last updated: 7m ago

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