Qwen3.6 27B
enthusiastBest local agent and tool-use model as of June 2026. Scored 1.00 on tool-efficiency benchmarks. Best choice for agentic workflows.
AI-generated content marks
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- 27.0B
- 128k
- apache 2.0
- 🇨🇳 China
- Nov 2025
Scores
Score per dollar
273 pts per $/M input
general_score (82) divided by cheapest input price ($0.30/M). Higher is better value. See live pricing.
Related models
Save your hardware and every model page answers the real question: will it run on your machine, and how fast?
Join free - save your rig →Run it locally
Per-quant memory needs and a static "can you run it?" reference - no rig entry required
The reference hardware
22 reference configs, drawn in-house. Scroll for more.
Can you run it? - reference rigs
| Rig | Q4_K_M | Q8_0 |
|---|---|---|
| NVIDIA Jetson Orin NX 16GB | no -> cloud | no -> cloud |
| Single GTX 1080 Ti (11GB) | offload | no -> cloud |
| 4x H100 80GB (320GB) | fast 446.6t/s | fast 263.2t/s |
| NVIDIA DGX Station 748GB | fast 266.6t/s | fast 157.1t/s |
| 8x RTX 3090 rack (192GB) | fast 249.6t/s | fast 147.1t/s |
| 4x RTX 5090 (128GB) | fast 238.9t/s | fast 140.8t/s |
| AMD Instinct MI300X (192GB) | fast 177.5t/s | fast 104.6t/s |
| 4x RTX 4090 (96GB) | fast 134.4t/s | fast 79.2t/s |
| 2x RTX 5090 (64GB) | fast 119.5t/s | fast 70.4t/s |
| 2x RTX 3090 (48GB) | fast 62.4t/s | fast 36.8t/s |
| Single RTX 5090 (32GB) | fast 59.7t/s | fast 35.2t/s |
| RTX PRO 6000 Blackwell (96GB) | fast 59.7t/s | fast 35.2t/s |
| Mac Studio M4 Ultra 192GB | fast 39.7t/s | fast 23.4t/s |
| Mac Studio M4 Ultra 512GB | fast 39.7t/s | fast 23.4t/s |
| Single RTX 4090 (24GB) | fast 33.6t/s | offload |
| MacBook Pro M5 Max 128GB | fast 22.3t/s | ok 13.2t/s |
| Dual EPYC 9004 + 768GB DDR5-4800 | ok 15.4t/s | ok 9.1t/s |
| DGX Spark 128GB unified | ok 9.1t/s | slow 5.4t/s |
| Ryzen AI Max+ 395 128GB | ok 8.5t/s | slow 5.0t/s |
| Jetson AGX Orin 64GB | slow 6.8t/s | slow 4.0t/s |
| Epyc + 512GB DDR4-3200 + 2x RTX 3090 | slow 6.8t/s | slow 4.0t/s |
| Epyc + 512GB DDR4-2400 + 2x RTX 3090 | slow 5.1t/s | slow 3.0t/s |
Fit tiers use the same will-it-run logic as the rig finder. For comfortable fits, the badge reflects decode speed: fast >=20 t/s, ok 8-20 t/s, slow <8 t/s. t/s is a bandwidth estimate, not a measured benchmark.
Download options
Or run it in the cloud
Live per-provider pricing, throughput and uptime - refreshed about 7 hours ago via OpenRouter. Click a column to sort.
| Provider | Type | Input $/M | Output $/M | Cache $/M | Tok/s | Latency | Uptime | Value |
|---|---|---|---|---|---|---|---|---|
|
DeepInfra
|
API | 0.32 | 3.20 | - | - | - | 100.00% | best uptime |
|
Venice
|
API | 0.32 | 3.25 | - | - | - | 100.00% | |
|
Alibaba
|
API | 0.45 | 2.70 | - | - | - | 99.37% | |
|
Chutes
|
API | 0.30 | 2.00 | 0.030 | - | - | 99.07% | cheapest |
|
Phala
|
API | 0.32 | 2.70 | 0.150 | - | - | 98.93% | |
|
SiliconFlow
|
API | 0.30 | 3.20 | - | - | - | 98.66% |
Default order: throughput among 95%+ uptime providers, then latency; subscriptions last. Sort by any column. Subscription rows show $/mo in the Value column - per-token columns are "-". Affiliate links are marked sponsored / nofollow. Confirm current pricing on the provider's site before committing.
Detailed API pricing page + JSON endpoint →
See who runs Alibaba in production →
Inference cost over time
Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.