Qwen3 8B
consumerAI-generated content marks
This model embeds text watermarks in generated text and adds C2PA provenance metadata to supported files such as .png, .jpg, and .svg. Marks can be lost through editing, screenshots, or format conversion, so their absence does not prove a file is human-made.
- 8.2B
- 128k
- apache 2.0
- 🇨🇳 China
- Apr 2025
Scores
Score per dollar
556 pts per $/M input
general_score (65) divided by cheapest input price ($0.12/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 |
|---|---|---|
| 4x H100 80GB (320GB) | fast 1016.8t/s | fast 698.7t/s |
| NVIDIA DGX Station 748GB | fast 607.1t/s | fast 417.1t/s |
| 8x RTX 3090 rack (192GB) | fast 568.3t/s | fast 390.5t/s |
| 4x RTX 5090 (128GB) | fast 543.9t/s | fast 373.8t/s |
| AMD Instinct MI300X (192GB) | fast 404.1t/s | fast 277.7t/s |
| 4x RTX 4090 (96GB) | fast 306.0t/s | fast 210.2t/s |
| 2x RTX 5090 (64GB) | fast 272.0t/s | fast 186.9t/s |
| 2x RTX 3090 (48GB) | fast 142.1t/s | fast 97.6t/s |
| Single RTX 5090 (32GB) | fast 136.0t/s | fast 93.4t/s |
| RTX PRO 6000 Blackwell (96GB) | fast 136.0t/s | fast 93.4t/s |
| Mac Studio M4 Ultra 192GB | fast 90.4t/s | fast 62.1t/s |
| Mac Studio M4 Ultra 512GB | fast 90.4t/s | fast 62.1t/s |
| Single RTX 4090 (24GB) | fast 76.5t/s | fast 52.6t/s |
| MacBook Pro M5 Max 128GB | fast 50.8t/s | fast 34.9t/s |
| Single GTX 1080 Ti (11GB) | fast 36.7t/s | fast 25.2t/s |
| Dual EPYC 9004 + 768GB DDR5-4800 | fast 35.0t/s | fast 24.0t/s |
| DGX Spark 128GB unified | fast 20.7t/s | ok 14.2t/s |
| Ryzen AI Max+ 395 128GB | ok 19.4t/s | ok 13.4t/s |
| Jetson AGX Orin 64GB | ok 15.5t/s | ok 10.7t/s |
| Epyc + 512GB DDR4-3200 + 2x RTX 3090 | ok 15.5t/s | ok 10.7t/s |
| Epyc + 512GB DDR4-2400 + 2x RTX 3090 | ok 11.7t/s | ok 8.0t/s |
| NVIDIA Jetson Orin NX 16GB | slow 7.8t/s | slow 5.3t/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 5 days ago via OpenRouter. Click a column to sort.
| Provider | Type | Input $/M | Output $/M | Cache $/M | Tok/s | Latency | Uptime | Value |
|---|---|---|---|---|---|---|---|---|
|
Alibaba
|
API | 0.12 | 0.46 | - | - | - | 100.00% | best uptime |
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.