# Llama-3.1-8B-Instruct vs Meta-Llama-3-8B-Instruct Compared
Source: https://savrn.com/models/compare/llama-3-1-8b-instruct-vs-meta-llama-3-8b-instruct
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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| Field | [Llama-3.1-8B-Instruct](https://savrn.com/models/llama-3-1-8b-instruct) meta-llama/Llama-3.1-8B-Instruct | [Meta-Llama-3-8B-Instruct](https://savrn.com/models/meta-llama-3-8b-instruct) meta-llama/Meta-Llama-3-8B-Instruct |
| --- | --- | --- |
| Publisher | Meta Llama | Meta Llama |
| Task | Text generation | Text generation |
| Modality | Text | Text |
| Parameters, as reported | 8B parameters | 8B parameters |
| Architecture | LlamaForCausalLM | LlamaForCausalLM |
| Library | transformers | transformers |
| Context length | Not stated | Not stated |
| Repository size | 32.1 GB | 32.1 GB |
| Artifact formats | safetensors, pytorch | safetensors, pytorch |
| License | llama3.1 | llama3 |
| Access | Access requested at publisher | Access requested at publisher |
| Memory at 16-bit (weights and margin) | 19.3 GB | 19.3 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 4.8 GB | 4.8 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 0e9e39f249a1 | 8afb486c1db2 |
| Downloads reported by the hub | 4.9M | 1M |
| Last observed | 2026-10-25 | 2026-10-02 |

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-3.1-8B-Instruct

| Benchmark | Conditions | Result | Reported by | Revision | Date |
| --- | --- | --- | --- | --- | --- |
| Idavidrein/gpqa | Task diamondMetric diamondComparison conditions not established | 30.4 | [Model Card](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) Reported by a third party | Evaluated revision not stated | 2026-01-27 |
| LEXam-Benchmark/LEXam | Task mcq_4_choicesMetric mcq_4_choicesComparison conditions not established | 24.04 | 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 | 10 | LEXam Leaderboard Reported by a third party | Evaluated revision not stated | 2026-06-02 |
| openai/gsm8k | Task gsm8kMetric gsm8kComparison conditions not established | 84.5 | [Model Card](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) Reported by a third party | Evaluated revision not stated | 2026-03-23 |
| thamilvendhan/signalbench | Task access_denyMetric access_denySetup family=access_deny; n=12Comparison conditions not established | 0.5 | [thamilvendhan](https://huggingface.co/datasets/thamilvendhan/signalbench) Reported by a third party | Evaluated revision not stated | 2026-07-08 |
| thamilvendhan/signalbench | Task bot_policyMetric bot_policySetup family=bot_policy; n=12Comparison conditions not established | 0.4167 | [thamilvendhan](https://huggingface.co/datasets/thamilvendhan/signalbench) Reported by a third party | Evaluated revision not stated | 2026-07-08 |
| thamilvendhan/signalbench | Task injectionMetric injectionSetup family=injection; n=12Comparison conditions not established | 0.75 | [thamilvendhan](https://huggingface.co/datasets/thamilvendhan/signalbench) 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 | 0.6667 | [thamilvendhan](https://huggingface.co/datasets/thamilvendhan/signalbench) 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 | 0.6333 | [signalbench raw per-item responses](https://huggingface.co/datasets/thamilvendhan/signalbench) Reported by a third party | Evaluated revision not stated | 2026-07-08 |
| thamilvendhan/signalbench | Task timeMetric timeSetup family=time; n=12Comparison conditions not established | 0.8333 | [thamilvendhan](https://huggingface.co/datasets/thamilvendhan/signalbench) Reported by a third party | Evaluated revision not stated | 2026-07-08 |

### Meta-Llama-3-8B-Instruct

| Benchmark | Conditions | Result | Reported by | Revision | Date |
| --- | --- | --- | --- | --- | --- |
| TIGER-Lab/MMLU-Pro | Task mmlu_proMetric mmlu_proComparison conditions not established | 40.98 | [EvalEval](https://huggingface.co/datasets/evaleval/EEE_datastore/blob/192329fb7d6b15b7b0936a1a58ae862aa7e8ba24/flat/objects/3c/1f/3c1f9257-27aa-4da0-b772-60d62242a72b.json) Reported by a third party | Evaluated revision not stated | 2026-06-30 |

## SAVRN's Notes on Llama-3.1-8B-Instruct

8B parameters at 19.3 GB in 16-bit memory, 9.6 GB at 8-bit, 4.8 GB at 4-bit — and the hosted floor is unusually low: DeepInfra and Novita list $0.02 in and $0.05 out per million tokens, Nscale $0.06 both ways. A $1.85 hour on the one 192 GB MI300X that anchors our pricing equals roughly ninety million cheapest-rate input tokens, so own the card only when volume, privacy or terms demand it.

The Meta Llama 3.1 Community License permits commercial use with attribution and the acceptable-use policy, unless your products cleared 700 million monthly active users at release — then you request a license from Meta. Access is gated. The page states no context length; reported scores include GSM8K 84.5 and GPQA Diamond 30.4. Weights are 32.1 GB across five files in both pth and safetensors.

SAVRN Research

## SAVRN's Notes on Meta-Llama-3-8B-Instruct

Nineteen point three gigabytes is the number to plan around at 16-bit, 16.1 of that being weights. At 8-bit the need falls to 9.6 gigabytes; at 4-bit it is 4.8, small enough that the 192 gigabyte MI300X the Index lists as cheapest, at $1.85 an hour, is far more card than one copy needs. That headroom is the point: room to serve many sessions at once.

The Llama 3 Community License permits commercial use with conditions: attribution as Meta specifies, compliance with Meta's Acceptable Use Policy, and a separate license request for any licensee with more than 700 million monthly active users on the release date. Access is gated, so the files arrive only after the publisher approves you. Check the context length, which our record does not carry, and the age of the weights, released April 17, 2024 and last updated June 18, 2025.

SAVRN Research, 2026-09-18

## Questions

### Which is larger, Llama-3.1-8B-Instruct or Meta-Llama-3-8B-Instruct?

Llama-3.1-8B-Instruct (8B parameters) is larger than Meta-Llama-3-8B-Instruct (8B parameters), by the parameter counts their publishers report.

### Which is cheaper to run, Llama-3.1-8B-Instruct or Meta-Llama-3-8B-Instruct?

At 4-bit, Llama-3.1-8B-Instruct fits on 1x MI300X from $1.85 an hour and Meta-Llama-3-8B-Instruct on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

### Can I use Llama-3.1-8B-Instruct commercially?

Yes, with conditions. Llama-3.1-8B-Instruct is released under Meta Llama 3.1 Community License. The Llama 3.1 Community License permits commercial use, except that a licensee whose products had more than 700 million monthly active users on the release date must request a license from Meta. It requires attribution as the license specifies and compliance with Meta's Acceptable Use Policy.

### Can I use Meta-Llama-3-8B-Instruct commercially?

Yes, with conditions. Meta-Llama-3-8B-Instruct is released under Meta Llama 3 Community License. The Llama 3 Community License permits commercial use, except that a licensee whose products had more than 700 million monthly active users on the release date must request a license from Meta. It requires attribution as the license specifies and compliance with Meta's Acceptable Use Policy.

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