DeepSeek-V4.1-Flash vs Sakana Namazu: Specs & Benchmark Comparison

DeepSeek-V4.1-Flash is developed by DeepSeek, while Sakana Namazu comes from Sakana AI. Sakana Namazu was released in August 2026, and DeepSeek-V4.1-Flash followed a month later in September 2026. DeepSeek-V4.1-Flash has a published size of about 552 billion parameters; Sakana AI has not disclosed the parameter count of Sakana Namazu.

We have 26 benchmark results for DeepSeek-V4.1-Flash and 3 benchmark results for Sakana Namazu, but they overlap on a single test: MMLU-Pro, where Sakana Namazu scores 90.3% against 74.1%.

DeepSeek-V4.1-Flash is the cheaper API at $0.30 per million input tokens and $1.20 per million output tokens, roughly 3 times cheaper than Sakana Namazu at $0.95 and $4. DeepSeek-V4.1-Flash takes the larger context window at 1M tokens, compared with 256K for Sakana Namazu. Both accept text and images as input. On tooling, only DeepSeek-V4.1-Flash supports function calling and only DeepSeek-V4.1-Flash offers structured output.

CharacteristicDeepSeek-V4.1-FlashSakana Namazu
CompanyDeepSeekSakana AI
Release DateSeptember 10, 2026August 3, 2026
Parameters552B—
MultimodalYesYes
Context (input)1.0M256K
Context (output)393K256K
Input Price / 1M$0.30$0.95
Output Price / 1M$1.20$4.00
Average Score60.2%92.4%
Benchmarks
MMLU-Pro74.1%90.3%

Visual Benchmark Comparison

DeepSeek-V4.1-Flash
Sakana Namazu
MMLU-Pro0.7 vs 0.9
0.7
0.9

Verdict

DeepSeek-V4.1-Flash leads in 3 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V4.1-Flash — 0.6, Sakana Namazu — 0.9.

API Cost

DeepSeek-V4.1-Flash is 3.3x cheaper: input $0.30/1M vs $0.95/1M tokens.

Context Window

DeepSeek-V4.1-Flash supports a larger context: 1M vs 256K tokens.

Recency

DeepSeek-V4.1-Flash is newer: released 9/10/2026 vs 8/3/2026.

More About These Models

Related Comparisons

Frequently Asked Questions

Which is better for coding — DeepSeek-V4.1-Flash or Sakana Namazu?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4.1-Flash or Sakana Namazu?
DeepSeek-V4.1-Flash is cheaper for input: $0.30 per 1M tokens vs $0.95.
Which has a larger context window — DeepSeek-V4.1-Flash or Sakana Namazu?
DeepSeek-V4.1-Flash supports a larger context: 1,048,576 tokens vs 256,000.

The DeepSeek-V4.1-Flash and Sakana Namazu comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4.1-Flash or Sakana Namazu page. See also the complete list of AI model comparisons.