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GPT-5 Mini vs GLM 4.7 Flash

GPT-5 Mini

OpenAI

64#199
vs
GLM 4.7 Flash

Zhipu AI

64#200
Signal-by-Signal Comparison
SignalGPT-5 MiniDeltaGLM 4.7 Flash
Capabilities
100
+33
67
Benchmarks
64
+1
62
Pricing
98
-2
100
Context window size
89
+5
84
Recency
66
-30
96
Output Capacity
85
+15
70
Overall Result
4 wins
of 6
2 wins
GPT-5 Mini wins 4 of 6 signals

Score History

Score History (24 data points)
GPT-5 MiniGLM 4.7 Flash
GPT-5 Mini

63.9

current score

Leader

GPT-5 Mini

right now

GLM 4.7 Flash

63.7

current score

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

GPT-5 Mini

OpenAI

Per request$0.001250
Daily$4.17
Monthly$125.00
Annual$1500.00

GLM 4.7 Flash

Zhipu AI

Best Value
Per request$0.000260
Daily$0.87
Monthly$26.00
Annual$312.00

GLM 4.7 Flash saves you $99.00/month

That's $1188.00/year compared to GPT-5 Mini at your current usage level of 100K calls/month.

79% cheaper
Choose GLM 4.7 Flash for cost optimization

GPT-5 Mini pricing:
Input:$0.25/M tokens
Output:$2.00/M tokens
GLM 4.7 Flash pricing:
Input:$0.06/M tokens
Output:$0.40/M tokens
Winner
GPT-5 Mini

OpenAI

64

Composite Score

GLM 4.7 Flash

Zhipu AI

64

Composite Score

Signal-by-Signal Comparison
MetricGPT-5 MiniGLM 4.7 FlashWinner
Overall Score
64
64
GPT-5 Mini
Rank#199#200
GPT-5 Mini
Quality Rank#199#200
GPT-5 Mini
Adoption Rank#199#200
GPT-5 Mini
Parameters------
Context Window400K203K
GPT-5 Mini
Pricing$0.25/$2.00/M$0.06/$0.40/M--
Signal Scores
Capabilities
100
67
GPT-5 Mini
Benchmarks
64
62
GPT-5 Mini
Pricing
98
100
GLM 4.7 Flash
Context window size
89
84
GPT-5 Mini
Recency
66
96
GLM 4.7 Flash
Output Capacity
85
70
GPT-5 Mini
Benchmark Head-to-Head(3 benchmarks)
GPT-5 Mini: 1GLM 4.7: 0
GPT-5 Mini
GLM 4.7
Normalized 0-100%
SWE-bench Verified
59.8%-
Arena Elo
13901368
HLE
19.44%-
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.

GPT-5 MiniCompetitive

Scores 64/100 (rank #199), placing it in the top 32% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 4.7 FlashCompetitive

Scores 64/100 (rank #200), placing it in the top 31% 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 GPT-5 Mini when you need:

  • Processing long documents or large codebases (400K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GLM 4.7 Flash when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-5 Mini
Input cost$0.25/M tokens
Output cost$2.00/M tokens
Cost per quality point$0.035
Est. monthly (1M tokens/day)$33.75
GLM 4.7 FlashBest Value
Input cost$0.06/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$6.90

GLM 4.7 Flash offers 80% better value per quality point. At 1M tokens/day, you'd spend $6.90/month with GLM 4.7 Flash vs $33.75/month with GPT-5 Mini - a $26.85 monthly difference.

Latency & Speed
GPT-5 MiniFaster
Speed score0/100
GLM 4.7 Flash
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

GPT-5 Mini

Customer support chatbot

Suitable for user-facing chat with competitive response times. GLM 4.7 Flash also offers lower per-token costs for high-volume support

GPT-5 Mini

Long document analysis

Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5 Mini

Batch data extraction

Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily

GLM 4.7 Flash

Creative writing & content

Higher overall composite score (64/100) correlates with better nuance, coherence, and style in long-form content

GPT-5 Mini

Image understanding & OCR

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

GPT-5 Mini
Which Should You Choose?
Our recommendation:
GPT-5 Mini

GPT-5 Mini and GLM 4.7 Flash are extremely close in overall performance (only 0.19999999999999574 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

GPT-5 Mini
Recommended

by OpenAI

  • 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

by Zhipu AI

  • Choose for Cost - 80% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5 MiniGLM 4.7 Flash
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)

GPT-5 Mini

OpenAI

$2.85
estimated monthly cost

GLM 4.7 Flash

Zhipu AI

Best Value
$0.5880
estimated monthly cost

GLM 4.7 Flash saves you $2.26/month

That's 79% cheaper than GPT-5 Mini 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
ParameterGPT-5 MiniGLM 4.7 Flash
Context Window400K203K
Max Output Tokens128,00016,384
Open SourceNoYes
CreatedAug 7, 2025Jan 19, 2026
Last updated: 47m ago

相关对比

GPT-5 Mini vs GLM 4.7 Flash (2026) | LM Market Cap