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Mistral Small 4 vs Llama 3 8B Lunaris

Llama 3 8B Lunaris costs 12.0x less per output token than Mistral Small 4 ($0.05 vs $0.60 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Mistral Small 4Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.60
S Llama 3 8B LunarisSao10K
Coding
No data
Overall
No data
Output $/M
$0.05
vs $0.60 vs $0.05 per 1M output tokens. Llama 3 8B Lunaris is 12.0x cheaper.

Mistral Small 4 or Llama 3 8B Lunaris: which to pick

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

Pick Mistral Small 4 for a larger context window (262K against 8K tokens).

No benchmark has tested both yet. Mistral Small 4 has results on AA Coding Index, Vibe Code Bench (Vals AI) and SciCode; Llama 3 8B Lunaris has none yet. Compare them on price and context instead.

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
Mistral Small 4 not benchmarked, Llama 3 8B Lunaris 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
Mistral Small 4 $0.60 against Llama 3 8B Lunaris $0.05 per million output tokens, 12.0x apart.
Context window
Mistral Small 4 takes 262K tokens, Llama 3 8B Lunaris 8K.

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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index5 boards measured
Coding benchmarks for Mistral Small 4 and Llama 3 8B Lunaris
BenchmarkMistral Small 4Llama 3 8B LunarisLeader
AA Coding Index26.6Not measuredOnly Mistral Small 4 measured
Vibe Code Bench (Vals AI)0.0%Not measuredOnly Mistral Small 4 measured
SciCode38.8%Not measuredOnly Mistral Small 4 measured
Terminal-Bench Hard (Artificial Analysis run)17.4%Not measuredOnly Mistral Small 4 measured
ALE-Bench497.6Not measuredOnly Mistral Small 4 measured
Neither model has a result on the other 38 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Mistral Small 4 and Llama 3 8B Lunaris
BenchmarkMistral Small 4Llama 3 8B LunarisLeader
AA Intelligence Index11.3Not measuredOnly Mistral Small 4 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Agentic work benchmarks for Mistral Small 4 and Llama 3 8B Lunaris
BenchmarkMistral Small 4Llama 3 8B LunarisLeader
AA Agentic Index0.8Not measuredOnly Mistral Small 4 measured
τ²-Bench Telecom41.2%Not measuredOnly Mistral Small 4 measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Reasoning benchmarks for Mistral Small 4 and Llama 3 8B Lunaris
BenchmarkMistral Small 4Llama 3 8B LunarisLeader
GPQA Diamond (Artificial Analysis run)76.9%Not measuredOnly Mistral Small 4 measured
Humanity's Last Exam (Artificial Analysis run)9.9%Not measuredOnly Mistral Small 4 measured
Kagi LLM Benchmark40.5%Not measuredOnly Mistral Small 4 measured
Neither model has a result on the other 20 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
General benchmarks for Mistral Small 4 and Llama 3 8B Lunaris
BenchmarkMistral Small 4Llama 3 8B LunarisLeader
IFBench48.2%Not measuredOnly Mistral Small 4 measured
Long context reasoning (AA-LCR)49.7%Not measuredOnly Mistral Small 4 measured
DTBench70.9%Not measuredOnly Mistral Small 4 measured
LMCA20.6%Not measuredOnly Mistral Small 4 measured
Neither model has a result on the other 44 boards here

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

Mistral Small 4$0.0004Fits in one request
Llama 3 8B Lunaris$0.0001Fits in one request

Llama 3 8B Lunaris costs less

Repository review

50K input + 3K output tokens

Mistral Small 4$0.0093Fits in one request
Llama 3 8B Lunaris$0.0022Exceeds the context window

Llama 3 8B Lunaris costs less

Agent loop

200K input + 10K output tokens

Mistral Small 4$0.036Fits in one request
Llama 3 8B Lunaris$0.0085Exceeds 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 Mistral Small 4 and Llama 3 8B Lunaris
SpecificationMistral Small 4Sao10K Llama 3 8B Lunaris
MakerMistral AISao10K
WeightsOpen weightsOpen weights
ReleasedMarch 16, 2026August 13, 2024
Context window262K8K
Input $/Mtok$0.15$0.04
Output $/Mtok$0.60$0.05
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Small 4 better than Llama 3 8B Lunaris for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Small 4 for a larger context window (262K against 8K tokens).

Which is cheaper, Mistral Small 4 or Llama 3 8B Lunaris?

Mistral Small 4 costs $0.15 per million input tokens and $0.60 per million output tokens; Llama 3 8B Lunaris costs $0.04 and $0.05. Cost per solved task is known for neither of them.

Which has the bigger context window, Mistral Small 4 or Llama 3 8B Lunaris?

Mistral Small 4, with 262K tokens against 8K.

Has any benchmark tested both Mistral Small 4 and Llama 3 8B Lunaris?

No benchmark has tested both yet. Mistral Small 4 has results on AA Coding Index, Vibe Code Bench (Vals AI) and SciCode; Llama 3 8B Lunaris has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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