Qwen3.8 27B
Qwen3.8 27BAlternatives?
CheaperMiniMax M3unstatedOpen+4%-45%$0.30 / $1.20Memory (4-bit): 17 GB → 256 GB+2
BetterClaude Fable 5unstated+7%+1,992%$10 / $50
OpenLaguna XS.2-14%——Memory (4-bit): 17 GB → 20 GB+2CheaperQwen 3.5 Plusunstated+3%-73%$0.12 / $0.69CheaperQwen 3.5 Flashunstated+2%-88%$0.065 / $0.26MiniMax M3unstatedOpen+4%-45%$0.30 / $1.20Memory (4-bit): 17 GB → 256 GB+2Qwen 3.5 Plusunstated+3%-73%$0.12 / $0.69Qwen 3.5 Flashunstated+2%-88%$0.065 / $0.26
Gemini 3.5 Flash Liteunstated+2%-11%$0.30 / $2.50
GPT-5.6 Lunaunstated+2%-53%$0.20 / $1.20Claude Fable 5unstated+7%+1,992%$10 / $50Claude Fable 5.1unstated+7%+1,992%$10 / $50Replace forced tool_choice+5Gemini 4 Argonunstated+7%+318%*$2 / $10Synchronous output stops at 65,536+2Gemini 3.1 Pro Previewunstated+6%+371%$2 / $12Cannot use both thinking controlsGemini 3.8 Flashunstated+6%+57%*$0.75 / $3.75Sampling parameters are ignored+1Laguna XS.2Open-14%——Memory (4-bit): 17 GB → 20 GB+2GPT OSS 20BunstatedOpen-14%-96%$0.018 / $0.09Context: 262K → 131K+1Gemma 2 27BunstatedOpen-18%-72%$0.27 / $0.27Context: 262K → 8K+1
Jamba 1.5 MiniOpen-19%——Context: 262K → 256K+2
Command ROpen-60%——Context: 262K → 128K+2Qwen 3.5 Plusunstated+3%—$0.12 / $0.69Qwen3.7 Maxmax+3%—$1.48 / $4.43No image inputQwen 3.5 Flashunstated+2%—$0.065 / $0.26Qwen3.6 Plusunstated+2%—$0.50 / $3Qwen3 Maxmaxsame—$1.20 / $6No image inputQwen3 Max (Preview)unstated-3%—$0.87 / $3.48No image inputQwen3.8 Max (0902)thinkingn/a—$5.41Qwen3.8 FlashthinkingOpenn/a—$0.37Memory (4-bit): 17 GB → 108 GB+6All Alibaba (Qwen) models →Run it yourself
estimateBenchmarks
in Chat & KnowledgeWatch out 5
max_tokens range · QwenCloud›
With thinking enabled, max_tokens outside 1–32768 returns HTTP 400; use max_completion_tokens to budget reasoning plus answer without that cap. Source ↗
Static YaRN affects shorter texts · Self-hosted›
Static YaRN can hurt short-text performance; change rope_parameters only when longer contexts are required. Source ↗
tool_choice only supports auto or none · QwenCloud›
With thinking enabled, tool_choice supports only auto or none. Source ↗
Include the word JSON · QwenCloud›
JSON Object mode requires the word JSON in a system or user message; otherwise the API returns an error. Source ↗
Agent search_strategy not supported · QwenCloud / Chat Completions›
Chat Completions does not support Qwen3.8 agent search_strategy; use the Responses web_search tool for multi-turn retrieval. Source ↗
FAQ
How much does Qwen3.8 27B cost?›
$0.42 per 1M input tokens and $2.55 per 1M output tokens; cached input $0.085 per 1M; cheapest via Tenstorrent at $0.02 / $0.50. A typical benchmark task costs about $1.13 at medium effort.
Is Qwen3.8 27B free to use?›
There is no free API; the cheapest paid price is $0.02 per 1M input tokens. The weights are open, so you can run it yourself.
How good is Qwen3.8 27B, and what is it best at?›
#146 of 334 in Chat & Knowledge, #44 of 132 in Coding, #42 of 133 in Agents & Tool Use, #91 of 195 in Writing & Language, #56 of 124 in Vision & Documents. Strongest at: Agents & work tasks, Long context.
Is Qwen3.8 27B better than GPT-5.2?›
On Vals LegalBench, Qwen3.8 27B scores 82.4 vs 82.8 — about the same.
How can I use Qwen3.8 27B?›
Through the API of AkashML, Alibaba, Cerebras, Chutes, Cloudflare and 16 more.
What is the context window of Qwen3.8 27B?›
262K tokens, with up to 131K output tokens.
When was Qwen3.8 27B released? Is there a newer version?›
Released 2026-08-14. It is the current version in its line.
Is Qwen3.8 27B open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Qwen3.8 27B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Qwen3.8 27B read images?›
It accepts text and images, video as input.
What is Qwen3.8 27B?›
Qwen3.8 27B is an open-weights language model from Alibaba (Qwen), released Aug 2026, the successor to Qwen3.6 27B.
What are the best alternatives to Qwen3.8 27B?›
MiniMax M3 (cheaper), Claude Fable 5 (better), Laguna XS.2 (open weights).