Qwen3.8-27B vs Seed 2.0 Pro
Qwen3.8-27B and Seed 2.0 Pro are closely matched at 44.8 and 39.5 on the LLM Stats Score. Qwen3.8-27B is 1.1x cheaper per token.
Alibaba Cloud / Qwen Team · ByteDance · Updated for 2026
Which is better?
Qwen3.8-27B and Seed 2.0 Pro are closely matched on the overall LLM Stats Score at 44.8 and 39.5.
In the 2 individual benchmarks reported for both models, Qwen3.8-27B wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.8-27B is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.8-27B also accepts a larger context window (262,144 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 Qwen3.8-27B
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 1.1x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
Choose Seed 2.0 Pro
- you want predictable pricing at $0.50/M input and $3.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
26 reported for Qwen3.8-27B · 6 for Seed 2.0 Pro
Qwen3.8-27B outperforms in 2 benchmarks (GPQA, LiveCodeBench v6), while Seed 2.0 Pro is better at 0 benchmarks.
Qwen3.8-27B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.8-27B ($0.40/1M tokens) is 1.3x cheaper than Seed 2.0 Pro ($0.50/1M tokens).
For output processing, Qwen3.8-27B ($3.00/1M tokens) costs the same as Seed 2.0 Pro ($3.00/1M tokens).
In conclusion, Seed 2.0 Pro is more expensive than Qwen3.8-27B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3.8-27B accepts 262,144 input tokens compared to Seed 2.0 Pro's 256,000 tokens. Qwen3.8-27B can generate longer responses up to 262,144 tokens, while Seed 2.0 Pro is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Qwen3.8-27B and Seed 2.0 Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen3.8-27B
Seed 2.0 Pro
License
Usage and distribution terms
Qwen3.8-27B is licensed under Apache 2.0, while Seed 2.0 Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Qwen3.8-27B was released on 2026-08-14, while Seed 2.0 Pro was released on 2026-02-14.
Qwen3.8-27B is 6 months newer than Seed 2.0 Pro.
Aug 14, 2026
1 months ago
6mo newerFeb 14, 2026
7 months ago
Knowledge Cutoff
When training data ends
Seed 2.0 Pro has a documented knowledge cutoff of 2024-01-01, while Qwen3.8-27B's cutoff date is not specified.
We can confirm Seed 2.0 Pro's training data extends to 2024-01-01, but cannot make a direct comparison without Qwen3.8-27B's cutoff date.
—
Jan 2024
Provider Availability
Qwen3.8-27B is available from DeepInfra, FriendliAI. Seed 2.0 Pro is available from DeepInfra.
Qwen3.8-27B
Seed 2.0 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen3.8-27B and Seed 2.0 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen3.8-27B vs Seed 2.0 Pro.