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Chat comparison

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gpt-6-astravsminimax-m3

MiniMax logo

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

gpt-6-astraBetter fit

1,000,000 tokens

minimax-m3

512,000 tokens

Input formats

gpt-6-astra

text, image

minimax-m3

text

Vision

gpt-6-astraBetter fit

Supported

minimax-m3

Not supported

Latest LLM7 statistics

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

Recent stability

gpt-6-astra

95.39%

minimax-m3

100%

Average response time

gpt-6-astra

13,252.21 ms

minimax-m3

18,868.2 ms

P95 API latency

gpt-6-astra

60,000 ms

minimax-m3

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-6-astra: 100%minimax-m3: 100%
17 Sept30 Sept

Average API latency

Both models on the same scale

gpt-6-astra: 6,466 msminimax-m3: 21,794 ms
17 Sept30 Sept

P95 API latency

Both models on the same scale

gpt-6-astra: 30,000 msminimax-m3: 60,000 ms
17 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.
  • minimax-m3 recorded higher recent LLM7 stability during this period.

Keep exploring