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Chat comparison

gemma4:31bvsgpt-6-astra

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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

What's different

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

Context window

gemma4:31b

262,000 tokens

gpt-6-astraBetter fit

1,000,000 tokens

Input formats

gemma4:31b

text

gpt-6-astra

text, image

Vision

gemma4:31b

Not supported

gpt-6-astraBetter fit

Supported

Reasoning

gemma4:31b

Not supported

gpt-6-astraBetter fit

Supported

Latest LLM7 statistics

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

Recent stability

gemma4:31b

99.62%

gpt-6-astra

92.36%

Average response time

gemma4:31b

6,468.91 ms

gpt-6-astra

14,829.48 ms

P95 API latency

gemma4:31b

30,000 ms

gpt-6-astra

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

gemma4:31b: 100%gpt-6-astra: 100%
15 Sept30 Sept

Average API latency

Both models on the same scale

gemma4:31b: 6,970 msgpt-6-astra: 6,466 ms
15 Sept30 Sept

P95 API latency

Both models on the same scale

gemma4:31b: 30,000 msgpt-6-astra: 30,000 ms
15 Sept30 Sept

Estimate your workload

Published rates are loaded from the pricing API; per-request quotes are billed from actual provider usage.

Checking current pricing…
Checking current pricing…

Quick take

  • gpt-6-astra has a larger context window.
  • gpt-6-astra supports image input while the other model does not.
  • gemma4:31b recorded higher recent LLM7 stability during this period.
  • gemma4:31b recorded a lower observed p95 API latency on LLM7 during this period.

Keep exploring