Qwen3.7 Max vs Sakana Namazu

Qwen3.7 Max and Sakana Namazu are closely matched at 46.0 and 43.2 on the LLM Stats Score. Sakana Namazu is 1.1x cheaper per token.

Alibaba Cloud / Qwen Team · Sakana AI · Updated for 2026

Which is better?

Qwen3.7 Max and Sakana Namazu are closely matched on the overall LLM Stats Score at 46.0 and 43.2.

The models split the 2 individual benchmarks reported for both models evenly.

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

Qwen3.7 Max 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 Qwen3.7 Max

you process long inputs — it offers a 1,000,000 token context window

Choose Sakana Namazu

cost matters — it's about 1.1x cheaper per token
you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Better token value: Sakana Namazu

Qwen3.7 Max

Alibaba Cloud / Qwen Team

Sakana Namazu

Sakana AI

Core performance indexes

LLM Stats Score

46.0

#25 · 37 evals

Best

43.2

#37 · 3 evals

Reasoning

46.8

#19 · 24 evals

Best

43.0

#36 · 3 evals

Cost, coverage & limits

Benchmark wins

1 of 2

Input price

$1.25 / M

$0.95 / M

Best

Output price

$3.75 / M

Best

$4.00 / M

Context window

1,000,000

Best

256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

Qwen3.7 Max

Sakana Namazu

Math

43.4#2 · 13 evals

38.9#22 · 2 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

42 reported for Qwen3.7 Max · 3 for Sakana Namazu

2 shared

Qwen3.7 Max outperforms in 1 benchmarks (LiveCodeBench v6), while Sakana Namazu is better at 1 benchmark (MMLU-Pro).

Both models are evenly matched across the benchmarks.

Fri Aug 28 2026 • llm-stats.com

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, Qwen3.7 Max ($1.25/1M tokens) is 1.3x more expensive than Sakana Namazu ($0.95/1M tokens).

For output processing, Qwen3.7 Max ($3.75/1M tokens) is 1.1x cheaper than Sakana Namazu ($4.00/1M tokens).

In conclusion, Qwen3.7 Max 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

Qwen3.7 Max

Input tokens$1.25

Output tokens$3.75

Best providerNovita

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

Qwen3.7 Max 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 Qwen3.7 Max is limited to 65,536 tokens.

Qwen3.7 Max

Input1,000,000 tokens

Output65,536 tokens

Sakana Namazu

Input256,000 tokens

Output256,000 tokens

Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Sakana Namazu supports multimodal inputs, whereas Qwen3.7 Max does not.

Sakana Namazu can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3.7 Max

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.

Qwen3.7 Max

Proprietary

Closed source

Sakana Namazu

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.7 Max was released on 2026-05-19, while Sakana Namazu was released on 2026-08-03.

Sakana Namazu is 3 months newer than Qwen3.7 Max.

Qwen3.7 Max

May 19, 2026

3 months ago

Sakana Namazu

Aug 3, 2026

3 weeks ago

2mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Qwen3.7 Max is available from Novita, Together. Sakana Namazu is available from Sakana AI.

Qwen3.7 Max

Novita

Input Price:Input: $1.25/1MOutput Price:Output: $3.75/1M

Together

Input Price:Input: $2.50/1MOutput Price:Output: $7.50/1M

Sakana Namazu

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 Qwen3.7 Max and Sakana Namazu side-by-side, then vote on the output you prefer.

Qwen3.7 Max

✓ Preferred

Sakana Namazu

Open in Playground

FAQ

Common questions about Qwen3.7 Max vs Sakana Namazu.

Which is better, Qwen3.7 Max or Sakana Namazu?

Qwen3.7 Max and Sakana Namazu are closely matched on the LLM Stats Score at 46.0 and 43.2. Qwen3.7 Max is made by Alibaba Cloud / Qwen Team 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 Qwen3.7 Max compare to Sakana Namazu in benchmarks?

Qwen3.7 Max scores HMMT Feb 26: 97.1%, Kernel Bench L3: 96.0%, MMLU-Redux: 95.0%, IFEval: 94.3%, GPQA: 92.4%. Sakana Namazu scores AIME 2026: 96.7%, LiveCodeBench v6: 90.3%, MMLU-Pro: 90.3%.

Is Qwen3.7 Max cheaper than Sakana Namazu?

Sakana Namazu is 1.3x cheaper for input tokens. Qwen3.7 Max costs $1.25/M input and $3.75/M output via novita. Sakana Namazu costs $0.95/M input and $4.00/M output via sakana.

What are the context window sizes for Qwen3.7 Max and Sakana Namazu?

Qwen3.7 Max 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 Qwen3.7 Max and Sakana Namazu?

Key differences include LLM Stats Score (46.0 vs 43.2), context window (1.0M vs 256K), input pricing ($1.25 vs $0.95/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Qwen3.7 Max and Sakana Namazu?

Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team and Sakana Namazu is developed by Sakana AI.

Qwen3.7 Max vs Sakana Namazu