Qwen3 30B A3B
MoE enthusiast30.5B total params, 3B active per forward pass (MoE). Min memory based on full weight loading ~15GB.
AI-generated content marks
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- 30.5B
- 128k
- apache 2.0
- 🇨🇳 China
- Apr 2025
Scores
Score per dollar
600 pts per $/M input
general_score (72) 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 |
|---|---|---|
| NVIDIA Jetson Orin NX 16GB | tight | no -> cloud |
| Single GTX 1080 Ti (11GB) | offload | no -> cloud |
| 4x H100 80GB (320GB) | fast 4827.1t/s | fast 2415.3t/s |
| NVIDIA DGX Station 748GB | fast 2881.9t/s | fast 1442.0t/s |
| 8x RTX 3090 rack (192GB) | fast 2698.0t/s | fast 1350.0t/s |
| 4x RTX 5090 (128GB) | fast 2582.2t/s | fast 1292.0t/s |
| AMD Instinct MI300X (192GB) | fast 1918.2t/s | fast 959.8t/s |
| 4x RTX 4090 (96GB) | fast 1452.5t/s | fast 726.8t/s |
| 2x RTX 5090 (64GB) | fast 1291.1t/s | fast 646.0t/s |
| 2x RTX 3090 (48GB) | fast 674.5t/s | fast 337.5t/s |
| Single RTX 5090 (32GB) | fast 645.5t/s | tight |
| RTX PRO 6000 Blackwell (96GB) | fast 645.5t/s | fast 323.0t/s |
| Mac Studio M4 Ultra 192GB | fast 429.1t/s | fast 214.7t/s |
| Mac Studio M4 Ultra 512GB | fast 429.1t/s | fast 214.7t/s |
| Single RTX 4090 (24GB) | fast 363.1t/s | offload |
| MacBook Pro M5 Max 128GB | fast 241.3t/s | fast 120.7t/s |
| Dual EPYC 9004 + 768GB DDR5-4800 | fast 166.0t/s | fast 83.1t/s |
| DGX Spark 128GB unified | fast 98.3t/s | fast 49.2t/s |
| Ryzen AI Max+ 395 128GB | fast 92.2t/s | fast 46.1t/s |
| Jetson AGX Orin 64GB | fast 73.8t/s | fast 36.9t/s |
| Epyc + 512GB DDR4-3200 + 2x RTX 3090 | fast 73.8t/s | fast 36.9t/s |
| Epyc + 512GB DDR4-2400 + 2x RTX 3090 | fast 55.3t/s | fast 27.7t/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 9 hours ago via OpenRouter. Click a column to sort.
| Provider | Type | Input $/M | Output $/M | Cache $/M | Tok/s | Latency | Uptime | Value |
|---|---|---|---|---|---|---|---|---|
|
DeepInfra
|
API | 0.12 | 0.50 | - | - | - | 100.00% | best uptime |
|
Alibaba
|
API | 0.13 | 0.52 | - | - | - | 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.