Claude Opus 4.5 (latest) vs Claude Opus 4.6
Prices checked
Claude Opus 4.6 takes 1 of 5 rounds against Claude Opus 4.5 (latest). Both cost $8.59 per million tokens to run.
Claude Opus 4.5 (latest)
200k context · tool calling · reads images
$8.59/M tokensCheapest price, at Poe · $3.86 per 1,000 pages
Claude Opus 4.6
1M context · tool calling · reads images
$8.59/M tokensCheapest price, at Poe · $3.86 per 1,000 pages
Maker's price in (lower wins)
$5/M
$5/M
Maker's price out (lower wins)
$25/M
$25/M
Cheapest price (lower wins)
$8.59/M at Poe
$8.59/M at Poe
Maker's price, blended (lower wins)
$10/M
$10/M
Cost per 1,000 pages (lower wins)
$3.86
$3.86
Context
200k tokens
1M tokens
Open weights
no
no
Tool calling
yes
yes
Structured output
yes
yes
Reads images
yes
yes
Reasoning
yes
yes
Released
24 Nov 2025
4 Feb 2026
Providers selling it
42
44
Price we measure against
the maker's own
the maker's own
Trains on your prompts (no is better)
not published
not published
Providers selling both · 37
Poe$8.59 / $8.59
Jiekou$9.50 / $9.50
Abacus$10 / $10
AIHubMix$10 / $10
Amazon Bedrock$10 / $10
Anthropic$10 / $10
Atlas Cloud$10 / $10
Azure AI Foundry$10 / $10
Claude Opus 4.5 (latest), then Claude Opus 4.6, per million tokens; the 8 cheapest of 37.
Go further
Add a third or fourth model, or change the weighting, in the tool.
Frequently asked
- Which is cheaper, Claude Opus 4.5 (latest) or Claude Opus 4.6?
- Neither: both run at $8.59 per million tokens, blended 3 in : 1 out, read on 31 Oct 2026.
- Where is each one cheapest?
- Claude Opus 4.5 (latest): $8.59 at Poe. Claude Opus 4.6: $8.59 at Poe.
- Can I buy both from one provider?
- Yes. 37 providers sell both: Poe, Jiekou, Abacus, AIHubMix, Amazon Bedrock, Anthropic, and more. The cheapest of them for the two together is Poe.
- Which holds more context?
- Claude Opus 4.6, at 1M tokens against 200k.
Prices exclude tax, read 31 Oct 2026 from each provider's own catalog. They are per M tokens, blended 3 in : 1 out, and a page is 600 tokens in and 60 out. Bars are scaled to the larger value in each row.
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