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chat comparison

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gpt-5.5vsgpt-5.6-terra

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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

gpt-5.5

Input $0.20 USD · Output $1.00 USD / 1M tokens

Minimum request: $0.0001 USD

gpt-5.6-terra

Input $0.24 USD · Output $1.00 USD / 1M tokens

What's different

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

Context window

gpt-5.5Better fit

1,050,000 tokens

gpt-5.6-terra

1,000,000 tokens

Latest LLM7 statistics

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

Recent stability

gpt-5.5

93.16%

gpt-5.6-terra

93.82%

Average response time

gpt-5.5

21,137.62 ms

gpt-5.6-terra

19,112.53 ms

P95 API latency

gpt-5.5

60,000 ms

gpt-5.6-terra

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

gpt-5.5: 87.9%gpt-5.6-terra: 87.5%
15 Aug14 Sept

Average API latency

Both models on the same scale

gpt-5.5: 51,586 msgpt-5.6-terra: 20,791 ms
15 Aug14 Sept

P95 API latency

Both models on the same scale

gpt-5.5: 60,000 msgpt-5.6-terra: 60,000 ms
15 Aug14 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

$0.002

Output estimate

$0.0025

Estimated total

$0.0045

Cost calculator

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

1M tokens
10,000 tokens
01M

Input estimate

$0.0024

Output estimate

$0.0025

Estimated total

$0.0049

Quick take

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

Keep exploring