Qwen3 14B
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.
- 14.7B
- 128k
- apache 2.0
- 🇨🇳 China
- Apr 2025
Scores
Score per dollar
700 pts per $/M input
general_score (70) divided by cheapest input price ($0.10/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 667.1t/s | fast 432.3t/s |
| NVIDIA DGX Station 748GB | fast 398.3t/s | fast 258.1t/s |
| 8x RTX 3090 rack (192GB) | fast 372.9t/s | fast 241.6t/s |
| 4x RTX 5090 (128GB) | fast 356.8t/s | fast 231.3t/s |
| AMD Instinct MI300X (192GB) | fast 265.1t/s | fast 171.8t/s |
| 4x RTX 4090 (96GB) | fast 200.7t/s | fast 130.1t/s |
| 2x RTX 5090 (64GB) | fast 178.4t/s | fast 115.6t/s |
| 2x RTX 3090 (48GB) | fast 93.2t/s | fast 60.4t/s |
| Single RTX 5090 (32GB) | fast 89.2t/s | fast 57.8t/s |
| RTX PRO 6000 Blackwell (96GB) | fast 89.2t/s | fast 57.8t/s |
| Mac Studio M4 Ultra 192GB | fast 59.3t/s | fast 38.4t/s |
| Mac Studio M4 Ultra 512GB | fast 59.3t/s | fast 38.4t/s |
| Single RTX 4090 (24GB) | fast 50.2t/s | fast 32.5t/s |
| MacBook Pro M5 Max 128GB | fast 33.4t/s | fast 21.6t/s |
| Single GTX 1080 Ti (11GB) | fast 24.1t/s | offload |
| Dual EPYC 9004 + 768GB DDR5-4800 | fast 22.9t/s | ok 14.9t/s |
| DGX Spark 128GB unified | ok 13.6t/s | ok 8.8t/s |
| Ryzen AI Max+ 395 128GB | ok 12.7t/s | ok 8.3t/s |
| Jetson AGX Orin 64GB | ok 10.2t/s | slow 6.6t/s |
| Epyc + 512GB DDR4-3200 + 2x RTX 3090 | ok 10.2t/s | slow 6.6t/s |
| Epyc + 512GB DDR4-2400 + 2x RTX 3090 | slow 7.7t/s | slow 5.0t/s |
| NVIDIA Jetson Orin NX 16GB | slow 5.1t/s | tight |
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 12 hours ago via OpenRouter. Click a column to sort.
| Provider | Type | Input $/M | Output $/M | Cache $/M | Tok/s | Latency | Uptime | Value |
|---|---|---|---|---|---|---|---|---|
|
NextBit
|
API | 0.10 | 0.22 | - | - | - | 100.00% | best uptime |
|
DeepInfra
|
API | 0.12 | 0.24 | - | - | - | 100.00% | |
|
Alibaba
|
API | 0.23 | 0.91 | - | - | - | 100.00% |
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.