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Gemini 3.7 Flash vs Sakana Namazu

Comparing Gemini 3.7 Flash and Sakana Namazu across benchmarks, pricing, and capabilities.

Google · Sakana AI · Updated for 2026

Which is better?

Gemini 3.7 Flash and Sakana Namazu trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Gemini 3.7 Flash is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.7 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 benchmark, pricing, and model metadata for 2026.

Choose Gemini 3.7 Flash

  • cost matters — it's about 1.1x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose Sakana Namazu

  • you want predictable pricing at $0.95/M input and $4.00/M output

At a glance

The differences that matter most.

Gemini 3.7 Flash
Google
Sakana Namazu
Sakana AI
Benchmark wins
—
—
Input price
$0.75 / M
$0.95 / M
Output price
$3.75 / M
$4.00 / M
Context window
1,048,576
256,000
Released
Aug 2026
Aug 2026
License
Proprietary
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.7 Flash and Sakana Namazudon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 3.7 Flash costs less

For input processing, Gemini 3.7 Flash ($0.75/1M tokens) is 1.3x cheaper than Sakana Namazu ($0.95/1M tokens).

For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 1.1x cheaper than Sakana Namazu ($4.00/1M tokens).

In conclusion, Sakana Namazu is more expensive than Gemini 3.7 Flash.*

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

Lowest available price from all providers
Wed Aug 26 2026 • llm-stats.com
Google
Gemini 3.7 Flash
Input tokens$0.75
Output tokens$3.75
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 3.7 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 3.7 Flash is limited to 65,536 tokens.

Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
Sakana AI
Sakana Namazu
Input256,000 tokens
Output256,000 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.7 Flash and Sakana Namazu support multimodal inputs.

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

Gemini 3.7 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 3.7 Flash

Proprietary

Closed source

Sakana Namazu

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while Sakana Namazu was released on 2026-08-03.

Gemini 3.7 Flash is 0 month newer than Sakana Namazu.

Gemini 3.7 Flash

Aug 13, 2026

1 weeks ago

1w newer
Sakana Namazu

Aug 3, 2026

3 weeks ago

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while Sakana Namazu's cutoff date is not specified.

We can confirm Gemini 3.7 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Sakana Namazu's cutoff date.

Gemini 3.7 Flash

Mar 2026

Sakana Namazu

—

Provider Availability

Gemini 3.7 Flash is available from Google. Sakana Namazu is available from Sakana AI.

Gemini 3.7 Flash

google logo
Google
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M

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 3.7 Flash and Sakana Namazu side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
Sakana Namazu
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs Sakana Namazu.

Which is better, Gemini 3.7 Flash or Sakana Namazu?

Gemini 3.7 Flash (Google) and Sakana Namazu (Sakana AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.7 Flash compare to Sakana Namazu in benchmarks?

Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%. Sakana Namazu scores AIME 2026: 96.7%, LiveCodeBench v6: 90.3%, MMLU-Pro: 90.3%.

Is Gemini 3.7 Flash cheaper than Sakana Namazu?

Gemini 3.7 Flash is 1.3x cheaper for input tokens. Gemini 3.7 Flash costs $0.75/M input and $3.75/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 3.7 Flash and Sakana Namazu?

Gemini 3.7 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 3.7 Flash and Sakana Namazu?

Key differences include context window (1.0M vs 256K), input pricing ($0.75 vs $0.95/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.7 Flash and Sakana Namazu?

Gemini 3.7 Flash is developed by Google and Sakana Namazu is developed by Sakana AI.

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