Claude Opus 4.7 vs Claude Opus 4.8: API price and specs
Claude Opus 4.8 is 40% cheaper than Claude Opus 4.7 on input price.
Claude Opus 4.8 is 26% cheaper than Claude Opus 4.7 on output price.
Claude Opus 4.8 is 33% cheaper than Claude Opus 4.7 on a 1M-in / 200k-out workload.
| Field | Claude Opus 4.7 | Claude Opus 4.8 |
|---|---|---|
| Lowest input, per 1M | $2.50 +66.7% | $1.50 |
| Median input, per 1M | $5.00 | $5.00 |
| Lowest output, per 1M | $12.50 +35.1% | $9.25 |
| Median output, per 1M | $25.00 | $25.00 |
| Lowest unit price | — | $0.001 / request |
| Cost of 1M in + 200k out | $5.00 +49.3% | $3.35 |
| Context | 1M | 1M |
| Max output | 128K | 128K |
| Providers | 33 +2.9% | 34 |
| Regions | AU, EU, GLOBAL, JP, US | APAC, AU, EU, GLOBAL, JP, US |
| Accepts | application/pdf, file, image, image/gif, image/jpeg, image/png, image/webp, pdf, text | application/pdf, file, image, image/gif, image/jpeg, image/png, image/webp, pdf, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | openrouter | xpersona |
Your own workload: how many tokens the model gets (input) and gives back (output) - for example, in a month. The "Cost" row of the table above is recalculated for these numbers, for each model.
Computed from current offers each time the page opens; the best value of a row is bold, the percent is how far behind the best.
Providers selling both
abacus, aihubmix, aiml, amazon-bedrock, anthropic, azure, azure-cognitive-services, cometapi, cortecs, deepinfra, digitalocean, edenai, fastrouter, freemodel, github-copilot, google-vertex, google-vertex-anthropic, impossibl, jiekou, kenari, kilo, meganova, nearai, ofox, opencode, openrouter, orcarouter, poe, requesty, trustedrouter, vercel, zenmux
Frequently asked questions
Which is cheaper, Claude Opus 4.7 or Claude Opus 4.8?
Claude Opus 4.8 is 40% cheaper than Claude Opus 4.7 on input price. Claude Opus 4.8 is 26% cheaper than Claude Opus 4.7 on output price. Claude Opus 4.8 is 33% cheaper than Claude Opus 4.7 on a 1M-in / 200k-out workload.
Which has the larger context, Claude Opus 4.7 or Claude Opus 4.8?
Claude Opus 4.7: 1M tokens; Claude Opus 4.8: 1M tokens.
Where can I use both Claude Opus 4.7 and Claude Opus 4.8?
abacus, aihubmix, aiml, amazon-bedrock, anthropic, azure, azure-cognitive-services, cometapi, cortecs, deepinfra, digitalocean, edenai, fastrouter, freemodel, github-copilot, google-vertex, google-vertex-anthropic, impossibl, jiekou, kenari, kilo, meganova, nearai, ofox, opencode, openrouter, orcarouter, poe, requesty, trustedrouter, vercel, zenmux