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Gemini 3.5 Flash vs Sakana Namazu

Gemini 3.5 Flash and Sakana Namazu are closely matched at 43.6 and 43.2 on the LLM Stats Score. Sakana Namazu is 2.0x cheaper per token.

Google · Sakana AI · Updated for 2026

Which is better?

Gemini 3.5 Flash and Sakana Namazu are closely matched on the overall LLM Stats Score at 43.6 and 43.2.

On price, Sakana Namazu is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.5 Flash also accepts a larger context window (1,048,576 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 Gemini 3.5 Flash

  • you process long inputs — it offers a 1,048,576 token context window

Choose Sakana Namazu

  • cost matters — it's about 2.0x cheaper per token
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Gemini 3.5 Flash
Google
Sakana Namazu
Sakana AI
Core performance indexes
LLM Stats Score
43.6
#34
43.2
#37
Reasoning
44.4
#31
43.0
#36
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.50 / M
$0.95 / M
Output price
$9.00 / M
$4.00 / M
Context window
1,048,576
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 3.5 Flash
Sakana Namazu
Math
30.7#67
38.9#22
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemini 3.5 Flash · 3 for Sakana Namazu

No common benchmarks found

Gemini 3.5 Flash 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

Sakana Namazu costs less

For input processing, Gemini 3.5 Flash ($1.50/1M tokens) is 1.6x more expensive than Sakana Namazu ($0.95/1M tokens).

For output processing, Gemini 3.5 Flash ($9.00/1M tokens) is 2.3x more expensive than Sakana Namazu ($4.00/1M tokens).

In conclusion, Gemini 3.5 Flash is more expensive than Sakana Namazu.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Aug 28 2026 • llm-stats.com
Google
Gemini 3.5 Flash
Input tokens$1.50
Output tokens$9.00
Best providerGoogle
Sakana AI
Sakana Namazu
Input tokens$0.95
Output tokens$4.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.5 Flash accepts 1,048,576 input tokens compared to Sakana Namazu's 256,000 tokens. Sakana Namazu can generate longer responses up to 256,000 tokens, while Gemini 3.5 Flash is limited to 65,536 tokens.

Google
Gemini 3.5 Flash
Input1,048,576 tokens
Output65,536 tokens
Sakana AI
Sakana Namazu
Input256,000 tokens
Output256,000 tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.5 Flash and Sakana Namazu support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.5 Flash

Text
Images
Audio
Video

Sakana Namazu

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.5 Flash

Proprietary

Closed source

Sakana Namazu

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.5 Flash was released on 2026-05-19, while Sakana Namazu was released on 2026-08-03.

Sakana Namazu is 3 months newer than Gemini 3.5 Flash.

Gemini 3.5 Flash

May 19, 2026

3 months ago

Sakana Namazu

Aug 3, 2026

3 weeks ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash has a documented knowledge cutoff of 2026-01-31, while Sakana Namazu's cutoff date is not specified.

We can confirm Gemini 3.5 Flash's training data extends to 2026-01-31, but cannot make a direct comparison without Sakana Namazu's cutoff date.

Gemini 3.5 Flash

Jan 2026

Sakana Namazu

—

Provider Availability

Gemini 3.5 Flash is available from Google. Sakana Namazu is available from Sakana AI.

Gemini 3.5 Flash

google logo
Google
Input Price:Input: $1.50/1MOutput Price:Output: $9.00/1M

Sakana Namazu

sakana logo
Unknown Organization
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash and Sakana Namazu side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash
✓ Preferred
Sakana Namazu
Open in Playground

FAQ

Common questions about Gemini 3.5 Flash vs Sakana Namazu.

Which is better, Gemini 3.5 Flash or Sakana Namazu?

Gemini 3.5 Flash and Sakana Namazu are closely matched on the LLM Stats Score at 43.6 and 43.2. Gemini 3.5 Flash is made by Google and Sakana Namazu is made by Sakana AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.5 Flash compare to Sakana Namazu in benchmarks?

Gemini 3.5 Flash scores CharXiv-R: 84.2%, MCP Atlas: 83.6%, MMMU-Pro: 83.6%, OSWorld-Verified: 78.4%, Terminal-Bench 2.0: 76.2%. Sakana Namazu scores AIME 2026: 96.7%, LiveCodeBench v6: 90.3%, MMLU-Pro: 90.3%.

Is Gemini 3.5 Flash cheaper than Sakana Namazu?

Sakana Namazu is 1.6x cheaper for input tokens. Gemini 3.5 Flash costs $1.50/M input and $9.00/M output via google. Sakana Namazu costs $0.95/M input and $4.00/M output via sakana.

What are the context window sizes for Gemini 3.5 Flash and Sakana Namazu?

Gemini 3.5 Flash supports 1.0M tokens and Sakana Namazu supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.5 Flash and Sakana Namazu?

Key differences include LLM Stats Score (43.6 vs 43.2), context window (1.0M vs 256K), input pricing ($1.50 vs $0.95/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash and Sakana Namazu?

Gemini 3.5 Flash is developed by Google and Sakana Namazu is developed by Sakana AI.

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