LLM API比較
| Model | Context/Output | Knowledge Cutoff | $Input/1M | $Output/1M |
|---|
gpt-5.5-pro | 1M/128k | 2025-12 | 30 | 180 |
gpt-5.5 | 1M/128k | 2025-12 | 5 | 30 |
gpt-5.4-pro | 1M/128k | 2025-08 | 30 | 180 |
gpt-5.4 | 1M/128k | 2025-08 | 2.5 | 15 |
gpt-5.4-mini | 400k/128k | 2025-08 | 0.75 | 4.5 |
gpt-5.4-nano | 400k/128k | 2025-08 | 0.2 | 1.25 |
gpt-4.1 | 1M/32k | 2024-06 | 2 | 8 |
claude-opus-4-7 | 1M/128k | 2026-01 | 5 | 25 |
claude-sonnet-4-6 | 1M/64k | 2025-08 | 3 | 15 |
claude-haiku-4-5 | 200k/64k | 2025-02 | 1 | 5 |
gemini-3.1-pro-preview | 1M/64k | 2025-01 | 2〜4 | 12〜18 |
gemini-3-pro-preview | 1M/64k | 2025-01 | 2〜4 | 12〜18 |
gemini-3-flash-preview | 1M/64k | 2025-01 | (0.5) | (3) |
gemini-2.5-pro | 1M/64k | 2025-01 | (1.25〜2.50) | (10〜15) |
gemini-2.5-flash | 1M/64k | 2025-01 | (0.3) | (2.5) |
gemini-2.5-flash-lite | 1M/64k | 2025-01 | (0.1) | (0.4) |
grok-4.3 | 1M | ? | 1.25 | 2.5 |
plamo-2.2-prime | 32k/4k | | 60円 | 250円 |