Claude Opus 4.8 vs Sakana Namazu
Claude Opus 4.8 and Sakana Namazu are closely matched at 51.7 and 43.2 on the LLM Stats Score. Sakana Namazu is 5.8x cheaper per token.
Anthropic · Sakana AI · Updated for 2026
Which is better?
Claude Opus 4.8 and Sakana Namazu are closely matched on the overall LLM Stats Score at 51.7 and 43.2.
On price, Sakana Namazu is roughly 5.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Opus 4.8 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Opus 4.8
- you process long inputs — it offers a 1,000,000 token context window
Choose Sakana Namazu
- cost matters — it's about 5.8x cheaper per token
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
26 reported for Claude Opus 4.8 · 3 for Sakana Namazu
Claude Opus 4.8 and Sakana Namazudon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.8 ($5.00/1M tokens) is 5.3x more expensive than Sakana Namazu ($0.95/1M tokens).
For output processing, Claude Opus 4.8 ($25.00/1M tokens) is 6.3x more expensive than Sakana Namazu ($4.00/1M tokens).
In conclusion, Claude Opus 4.8 is more expensive than Sakana Namazu.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Opus 4.8 accepts 1,000,000 input tokens compared to Sakana Namazu's 256,000 tokens. Sakana Namazu can generate longer responses up to 256,000 tokens, while Claude Opus 4.8 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Opus 4.8 and Sakana Namazu support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Opus 4.8
Sakana Namazu
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Claude Opus 4.8 was released on 2026-05-28, while Sakana Namazu was released on 2026-08-03.
Sakana Namazu is 2 months newer than Claude Opus 4.8.
May 28, 2026
3 months ago
Aug 3, 2026
3 weeks ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Opus 4.8 is available from Anthropic, Vertex AI. Sakana Namazu is available from Sakana AI.
Claude Opus 4.8
Sakana Namazu
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 4.8 and Sakana Namazu side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 4.8 vs Sakana Namazu.