Model Comparison

Qwen3 Coder Next
vs. Seed-OSS-36B-Instruct

Comparing 2 AI models · 0 benchmarks · Alibaba, ByteDance Seed

Recommended Pick

Alibaba logoQwen3 Coder Next3 metric wins

Strongest on: Throughput, TTFT, Latency

Lowest Price

ByteDance Seed logo

Seed-OSS-36B-Instruct

$0.21/1M input price

Differences That Matter

Price gap

Seed-OSS-36B-Instruct is 1.5x cheaper on input tokens than Qwen3 Coder Next.

Speed gap

Qwen3 Coder Next generates about 2.3x as many tokens per second as Seed-OSS-36B-Instruct.

Top-pick rationale

Qwen3 Coder Next wins 3 measurable categories, including Throughput, TTFT, Latency.

Live compare

Response Face-Off

Run one prompt through the selected models and compare response quality with live speed and cost context.

10 comparisons left in 24h
Alibaba logo

Qwen3 Coder Next

Alibaba

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ByteDance Seed logo

Seed-OSS-36B-Instruct

ByteDance Seed

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Which answer was more useful?

Secure AI Chat made in Europe

Chat with EU-Hosted Models like Deepseek, Qwen & Kimi: open-weight, transparent, no lock-in.

EU-hosted open models, one API

Servers in Germany & Finland. Operated by a German company under the GDPR, DPA available, ISO 27001-certified data centres.

Full Comparison

Metric
Top Pick
Alibaba logoQwen3 Coder Next
Alibaba
ByteDance Seed logoSeed-OSS-36B-Instruct
ByteDance Seed
Pricing per 1M tokens
Input Cost$0.31/1M$0.21/1M
Output Cost$1.00/1M$0.57/1M
Blended (3:1)$0.48/1M$0.30/1M
Specifications
OrganizationAlibabaByteDance Seed
Release DateFeb 3, 2026Aug 20, 2025
Performance & Speed
Throughput90.7 tok/s39.3 tok/s
TTFT880ms2820ms
Latency880ms53710ms

Key Takeaways

Seed-OSS-36B-Instruct offers the best value at $0.21/1M,making it ideal for high-volume applications and cost-conscious projects.

All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.

When to Choose Each Model

Alibaba logo

Qwen3 Coder Next

  • General-purpose AI
  • Versatile applications
ByteDance Seed logo

Seed-OSS-36B-Instruct

  • Cost-sensitive applications
  • High-volume processing