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chat comparison

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glm-5.3-flashvsgpt-5.5

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Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.

Current pricing

See the cost difference clearly

Directly comparable

glm-5.3-flash

Input $0.04 USD · Output $0.15 USD / 1M tokens

gpt-5.5

Input $0.55 USD · Output $3.30 USD / 1M tokens

Minimum request: $0.0001 USD

What's different

Only capabilities that differ between these models are listed. Green highlights the broader supported option or larger context window.

Context window

glm-5.3-flash

1,048,576 tokens

gpt-5.5Better fit

1,050,000 tokens

JSON mode

glm-5.3-flash

Not supported

gpt-5.5Better fit

Supported

Latest LLM7 statistics

Recent aggregated percentages and response-time metrics from LLM7, not a global model benchmark or traffic disclosure.

Recent stability

glm-5.3-flash

95.82%

gpt-5.5

95.44%

Average response time

glm-5.3-flash

26,736.32 ms

gpt-5.5

10,160.08 ms

P95 API latency

glm-5.3-flash

60,000 ms

gpt-5.5

60,000 ms

Side-by-side trends

Shared charts make the observed differences easier to read. Metrics without enough history stay hidden.

Request success rate

Both models on the same scale

glm-5.3-flash: 97.8%gpt-5.5: 71.4%
4 Aug3 Sept

Average API latency

Both models on the same scale

glm-5.3-flash: 16,370 msgpt-5.5: 24,145 ms
4 Aug3 Sept

P95 API latency

Both models on the same scale

glm-5.3-flash: 60,000 msgpt-5.5: 60,000 ms
4 Aug3 Sept

Estimate your workload

Fixed-price models can be estimated directly; dynamic models use recent references and are billed from actual provider usage.

Cost calculator

Adjust the volume to see an instant estimate at the current public price.

1M tokens
10,000 tokens
01M

Input estimate

$0.0004

Output estimate

$0.000375

Estimated total

$0.000775

Cost calculator

Adjust the volume to see an instant estimate at the current public price.

1M tokens
10,000 tokens
01M

Input estimate

$0.0055

Output estimate

$0.00825

Estimated total

$0.01375

Quick take

  • gpt-5.5 has a larger context window.
  • The recent stability rates are too close to distinguish meaningfully.

Keep exploring