QwenDiscovered Oct 16, 2026

Qwen3.6-27B-TEE

Context window262.1K
Max output65.5K
Parameters27B
Provider endpoints1
Benchmark results0
Measured performance

Benchmark results

All leaderboards ↗
—

No published results in this index yet

Scores appear here when an evaluation matches this exact model.

Access & cost

Prices across providers

1 quote

Chutes

fp8 · TEE

Input
$0.25
Output
$2.00
Cached input
$0.025
USD / 1M tokens
262.1K context65.5K max outputPrice source ↗Checked Oct 17, 2026
Endpoint IDQwen/Qwen3.6-27B-TEE

Model specifications

Developer
Qwen
Modality
Language
Context
262,144 tokens
Maximum output
65,536 tokens
Weights
Not reported
First discovered
Oct 16, 2026

Exact identities

  • chutesQwen/Qwen3.6-27B-TEE

Sources

Updated Oct 17, 2026

More from Qwen

View all ↗
QwenListed Sep 14

Qwen3.8-Flash

Qwen's fast, low-cost model with a one-million-token context window, billed at a flat rate across the entire window.

1M contextNo reported score
No reported score
$0.113in$0.382out/ 1M tokens · USDDeepInfra · 2 endpoints
QwenReleased Aug 14

Qwen3.8-27B

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking…

1M context27BImage inputVideo input
$0.02in$0.50out/ 1M tokens · USDTenstorrent · via OpenRouter · 28 endpointstenstorrent/fp4 · quantization=fp4
QwenListed Aug 3

Qwen3.8-Max

Qwen's latest 2.4-trillion-parameter MoE flagship model delivering a comprehensive leap in coding and professional work.

256K contextNo reported score
No reported score
$1.65in$4.951out/ 1M tokens · USDDeepInfra
QwenListed May 28

Qwen3.7-Max

The largest and most capable in the Qwen3.7 series. Qwen3.7 is a next‑generation flagship model designed for the agent‑centric.

256K contextNo reported score
No reported score
$2.50in$7.50out/ 1M tokens · USDDeepInfra