Ling 3.0 Flash vs Sakana Namazu: Specs & Benchmark Comparison

Ling 3.0 Flash is developed by InclusionAI, while Sakana Namazu comes from Sakana AI. Both were released in August 2026. Ling 3.0 Flash has a published size of about 124 billion parameters; Sakana AI has not disclosed the parameter count of Sakana Namazu.

The two models share 2 published benchmarks. Sakana Namazu leads on 2 of them. The widest gaps are on LiveCodeBench v6, where Sakana Namazu scores 90.3% against 82.8%; AIME 2026, where Sakana Namazu scores 96.7% against 93.2%. Averaged across everything we track, Ling 3.0 Flash sits at 68.5% and Sakana Namazu at 92.4%.

Ling 3.0 Flash is the cheaper API at $0.06 per million input tokens and $0.18 per million output tokens, roughly 16 times cheaper than Sakana Namazu at $0.95 and $4. Sakana Namazu takes the larger context window at 256K tokens, compared with 131K for Ling 3.0 Flash. Ling 3.0 Flash accepts text as input, while Sakana Namazu accepts text and images.

CharacteristicLing 3.0 FlashSakana Namazu
CompanyInclusionAISakana AI
Release DateAugust 4, 2026August 3, 2026
Parameters124B—
MultimodalNoYes
Context (input)131K256K
Context (output)131K256K
Input Price / 1M$0.06$0.95
Output Price / 1M$0.18$4.00
Average Score68.5%92.4%
Benchmarks
LiveCodeBench v682.8%90.3%
AIME 202693.2%96.7%

Visual Benchmark Comparison

Ling 3.0 Flash
Sakana Namazu
LiveCodeBench v60.8 vs 0.9
0.8
0.9
AIME 20260.9 vs 1.0
0.9
1.0

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: Ling 3.0 Flash — 0.7, Sakana Namazu — 0.9.

API Cost

Ling 3.0 Flash is 20.6x cheaper: input $0.06/1M vs $0.95/1M tokens.

Context Window

Sakana Namazu supports a larger context: 256K vs 131K tokens.

Recency

Both models were released around the same time: 8/4/2026 and 8/3/2026.

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Frequently Asked Questions

Which is better for coding — Ling 3.0 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 — Ling 3.0 Flash or Sakana Namazu?
Ling 3.0 Flash is cheaper for input: $0.06 per 1M tokens vs $0.95.
Which has a larger context window — Ling 3.0 Flash or Sakana Namazu?
Sakana Namazu supports a larger context: 256,000 tokens vs 131,072.

The Ling 3.0 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 Ling 3.0 Flash or Sakana Namazu page. See also the complete list of AI model comparisons.