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Llama 3 8B Lunaris vs Voxtral Small 24B 2507

Llama 3 8B Lunaris costs 6.0x less per output token than Voxtral Small 24B 2507 ($0.05 vs $0.30 per million). Updated October 22, 2026; no benchmark has tested both models yet.

S Llama 3 8B LunarisSao10K
Coding
No data
Overall
No data
Output $/M
$0.05
Voxtral Small 24B 2507Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.30
vs $0.05 vs $0.30 per 1M output tokens. Llama 3 8B Lunaris is 6.0x cheaper.

Llama 3 8B Lunaris or Voxtral Small 24B 2507: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Llama 3 8B Lunaris for output tokens 6.0x cheaper ($0.05 vs $0.30 per million).

No benchmark has tested either model yet, so price and context are the only way to compare them.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Llama 3 8B Lunaris not benchmarked, Voxtral Small 24B 2507 not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Llama 3 8B Lunaris $0.05 against Voxtral Small 24B 2507 $0.30 per million output tokens, 6.0x apart.
Context window
Llama 3 8B Lunaris takes 8K tokens, Voxtral Small 24B 2507 33K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Llama 3 8B Lunaris$0.0001Fits in one request
Voxtral Small 24B 2507$0.0003Fits in one request

Llama 3 8B Lunaris costs less

Repository review

50K input + 3K output tokens

Llama 3 8B Lunaris$0.0022Exceeds the context window
Voxtral Small 24B 2507$0.0059Exceeds the context window

Llama 3 8B Lunaris costs less

Agent loop

200K input + 10K output tokens

Llama 3 8B Lunaris$0.0085Exceeds the context window
Voxtral Small 24B 2507$0.023Exceeds the context window

Llama 3 8B Lunaris costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Llama 3 8B Lunaris and Voxtral Small 24B 2507
SpecificationSao10K Llama 3 8B LunarisMistral Voxtral Small 24B 2507
MakerSao10KMistral AI
WeightsOpen weightsOpen weights
ReleasedAugust 13, 2024October 30, 2025
Context window8K33K
Input $/Mtok$0.04$0.10
Output $/Mtok$0.05$0.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama 3 8B Lunaris better than Voxtral Small 24B 2507 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Llama 3 8B Lunaris for output tokens 6.0x cheaper ($0.05 vs $0.30 per million).

Which is cheaper, Llama 3 8B Lunaris or Voxtral Small 24B 2507?

Llama 3 8B Lunaris costs $0.04 per million input tokens and $0.05 per million output tokens; Voxtral Small 24B 2507 costs $0.10 and $0.30. Cost per solved task is known for neither of them.

Which has the bigger context window, Llama 3 8B Lunaris or Voxtral Small 24B 2507?

Voxtral Small 24B 2507, with 33K tokens against 8K.

Has any benchmark tested both Llama 3 8B Lunaris and Voxtral Small 24B 2507?

No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 22, 2026.

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