SAVRN Model Hub · Comparisons
Llama-3.3-70B-Instruct vs Qwen-72B
Llama-3.3-70B-Instruct has 70.6B parameters and Qwen-72B has 72.3B parameters; Llama-3.3-70B-Instruct is released under llama3.3 and Qwen-72B under other; at 16-bit, Llama-3.3-70B-Instruct needs about 169.3 GB (1x MI300X from $1.85 an hour) and Qwen-72B about 173.5 GB (1x MI300X from $1.85 an hour).
| Field | Llama-3.3-70B-Instruct meta-llama/Llama-3.3-70B-Instruct | Qwen-72B Qwen/Qwen-72B |
|---|---|---|
| Publisher | Meta Llama | Qwen |
| Task | Text generation | Text generation |
| Modality | Text | Text |
| Parameters, as reported | 70.6B parameters | 72.3B parameters |
| Architecture | LlamaForCausalLM | QWenLMHeadModel |
| Library | transformers | transformers |
| Context length | Not stated | 32,768 tokens |
| Repository size | 282.3 GB | 144.6 GB |
| Artifact formats | safetensors, pytorch | safetensors |
| License | llama3.3 | other |
| Access | Access requested at publisher | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 169.3 GB | 173.5 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 42.3 GB | 43.4 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 6f6073b42301 | b8e18ac61df6 |
| Downloads reported by the hub | 924.1k | 4M |
| Last observed | 2026-09-18 | 2026-09-18 |
An evaluation row appears only where at least two of these models report the same benchmark with the same stated configuration, metric, unit and setup. Different evaluators stay named in each cell. Values are shown as reported: no unit conversion, no ranking.
Other Reported Results
These results are listed for each model on its own, because the conditions needed to compare them are not stated or do not match. Two results that leave a condition blank are not assumed to share it.
Llama-3.3-70B-Instruct
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| Idavidrein/gpqa | Task diamondMetric diamondSetup GPQA DiamondComparison conditions not established | 51.5152 | EvalEval Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| LEXam-Benchmark/LEXam | Task mcq_4_choicesMetric mcq_4_choicesComparison conditions not established | 28.19 | LEXam Leaderboard Reported by a third party |
Evaluated revision not stated | 2026-06-02 |
| LEXam-Benchmark/LEXam | Task open_questionMetric open_questionComparison conditions not established | 41.27 | LEXam Leaderboard Reported by a third party |
Evaluated revision not stated | 2026-06-02 |
| TIGER-Lab/MMLU-Pro | Task mmlu_proMetric mmlu_proComparison conditions not established | 65.92 | EvalEval Reported by a third party |
Evaluated revision not stated | 2026-06-30 |
| joelniklaus/LEXam-hard | Task lexam_hardMetric lexam_hardSetup lighteval, LEXam paper prompts, one response per question, no tools; DeepSeek-R1-0528 judge; mean of the German and English means over the 518 questions, 0-100Comparison conditions not established | 26.78 | SwissLegalEvals per-sample details (lighteval) Reported by a third party |
Evaluated revision not stated | 2026-07-12 |
| openai/gsm8k | Task gsm8kMetric gsm8kComparison conditions not established | 94.8446 | EvalEval Reported by a third party |
Evaluated revision not stated | 2025-03-19 |
| thamilvendhan/signalbench | Task access_denyMetric access_denySetup family=access_deny; n=12Comparison conditions not established | 0.0833 | thamilvendhan Reported by a third party |
Evaluated revision not stated | 2026-07-08 |
| thamilvendhan/signalbench | Task memory_labelMetric memory_labelSetup family=memory_label; n=12Comparison conditions not established | 0.5833 | thamilvendhan Reported by a third party |
Evaluated revision not stated | 2026-07-08 |
| thamilvendhan/signalbench | Task srcMetric srcSetup SRC overall; deterministic action-based grader, no LLM judge; seed 0, n=75Comparison conditions not established | 0.4167 | signalbench raw per-item responses Reported by a third party |
Evaluated revision not stated | 2026-07-08 |
| thamilvendhan/signalbench | Task timeMetric timeSetup family=time; n=12Comparison conditions not established | 0.75 | thamilvendhan Reported by a third party |
Evaluated revision not stated | 2026-07-08 |
SAVRN's Notes on Llama-3.3-70B-Instruct
At 16-bit the weights alone are 141.1 GB and the working set is 169.3 GB, which puts this 70.6 billion parameter model on one MI300X with 192 GB at $1.85 an hour on-demand. Drop to 8-bit and the need falls to 84.7 GB; 4-bit needs 42.3 GB on the same card. Meta Llama tuned it for multilingual dialogue, text in and text out. Budget 282 GB of disk for the 53 files.
The license is the publisher's own llama3.3 terms and access is gated, so a deployment starts with an approval step and a read of that document. The page lists no context length, so confirm it against the base it derives from, Llama-3.1-70B, before sizing the KV cache. As a rent comparison, the Index shows it served from $0.13 in and $0.40 out per million tokens at Nebius Token Factory up to $1.04 each way at Together AI.
Questions
Which is larger, Llama-3.3-70B-Instruct or Qwen-72B?
Qwen-72B (72.3B parameters) is larger than Llama-3.3-70B-Instruct (70.6B parameters), by the parameter counts their publishers report.
Which is cheaper to run, Llama-3.3-70B-Instruct or Qwen-72B?
At 4-bit, Llama-3.3-70B-Instruct fits on 1x MI300X from $1.85 an hour and Qwen-72B on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.