Qwen3-Coder Next vs DeepSeek-R1-Distill-Llama-70B
Qwen3-Coder Next scores higher on the intelligence index, 10 against 8. Both take the same machine to start: the cheapest here that runs either is the Framework Desktop, 128GB, at $3,449. On it, Qwen3-Coder Next is about 13.5× quicker: 54 tok/s against 4, DeepSeek-R1-Distill-Llama-70B's measured and the other estimated from memory bandwidth. At 500k tokens a day the Framework Desktop, 128GB pays for itself in 122 years running Qwen3-Coder Next, and never running DeepSeek-R1-Distill-Llama-70B.
| Qwen3-Coder Next | DeepSeek-R1-Distill-Llama-70B | |
|---|---|---|
| Intelligence index | 10 | 8 |
| Class | Below every hosted tier | Below every hosted tier |
| Weights | 48 GB | 43 GB |
| Needs at 32k | 49 GB | 53 GB |
| Quantisation | Q4_K_M | Q4_K_M |
| Parameters | 79.7B (3B active) | 70.6B |
| Max context | 256k | 128k |
| API price per 1M | $0.12 in / $0.8 out | $0.018 in / $0.09 outpriced as gpt-oss-20b |
| Licence | Apache 2.0 | MIT |
| Machines here that run it | 13 of 37 | 13 of 37 |
| Cheapest machine that runs it | Strix Halo Framework Desktop, 128GB $3,449 | Strix Halo Framework Desktop, 128GB $3,449 |
Run Qwen3-Coder Next on the Framework Desktop, 128GB · or DeepSeek-R1-Distill-Llama-70B
Jump to: Side by side on the Framework Desktop, 128GB · How much use it takes to pay for the machine · Memory is not what separates them · The assumptions behind both columns
Side by side on the Framework Desktop, 128GB
The cheapest machine that runs either model is the same one, so this is the pair doing the same work on the same hardware: Strix Halo Framework Desktop, 128GB, at $3,449.
| Qwen3-Coder Next | DeepSeek-R1-Distill-Llama-70B | |
|---|---|---|
| Speed at 32k | 54 tok/s estimated | 4 tok/s measured |
| Pay-back on this machine | Pays back in 122 years | Never pays back |
| API cost per month | $2.47 | $0.34priced as gpt-oss-20b |
Run Qwen3-Coder Next on the Framework Desktop, 128GB · or DeepSeek-R1-Distill-Llama-70B
How much use it takes to pay for the machine
Everything above is at 500k tokens a day. Pay-back moves with how much you actually run, so here are both models at the five levels of use the calculator names, on the Framework Desktop, 128GB. Qwen3-Coder Next pays for it sooner at every level of use: DeepSeek-R1-Distill-Llama-70B never pays for it at all.
| A day's use | Qwen3-Coder Next | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| 50ka few chats a day | 1,217 years | Never pays back |
| 200klight assistant use | 304 years | Never pays back |
| 1Ma moderate coding-assistant day | 61 years | Never pays back |
| 4Mheavy coding with an agent | 15 years | Never pays back |
| 20Magents running most of the day | 3.0 years | Never pays backits ceiling |
The Framework Desktop, 128GB generates at most 5.49M tokens a day on DeepSeek-R1-Distill-Llama-70B, so that column's figure at 20M tokens a day is for the most it can do, not for the whole of what was asked.
Run Qwen3-Coder Next at 20M tokens a day · or DeepSeek-R1-Distill-Llama-70B
Memory is not what separates them
Qwen3-Coder Next needs 49 GB of memory at 32k of context and DeepSeek-R1-Distill-Llama-70B needs 53 GB. Every machine priced here that runs one runs the other, at 32k of context. So the choice between them is what each is good at, how fast it runs and what the same work costs on an API, not what you have to buy to hold it.
Qwen3-Coder Next is also head to head with Qwen3-Coder 30B-A3B above it on the leaderboard and gpt-oss-20b below it. DeepSeek-R1-Distill-Llama-70B is also head to head with DeepSeek-R1-Distill-Qwen-32B above it on the leaderboard and Llama 3.3 70B Instruct below it.
The assumptions behind both columns
Both columns use the same usage: 500k tokens a day at 15:1 input to output, 32k of context, $0.17 per kWh, and today's API prices held flat. Speeds marked estimated are worked out from memory bandwidth rather than measured, and pay-back scales with them. Where nobody rents an open model by the token, its API prices are the nearest hosted model's, named beside them. Machines are the 37 here with a published price that are still sold. Change any of it in the calculator.
More head to head: every machine that runs Qwen3-Coder Next · every machine that runs DeepSeek-R1-Distill-Llama-70B · every other match-up · both against the frontier · the quickest pay-back at each level of use