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GPT-5.2 Pro vs Llama 3 8B Lunaris

Llama 3 8B Lunaris costs 3360.0x less per output token than GPT-5.2 Pro ($0.05 vs $168.00 per million). Updated October 23, 2026; no benchmark has tested both models yet.

Replace GPT-5.2 Pro Replace Llama 3 8B Lunaris
GPT-5.2 ProOpenAI
Coding
No data
Overall
No data
Output $/M
$168.00
S Llama 3 8B LunarisSao10K
Coding
No data
Overall
No data
Output $/M
$0.05
vs $168.00 vs $0.05 per 1M output tokens. Llama 3 8B Lunaris is 3360.0x cheaper.

GPT-5.2 Pro or Llama 3 8B Lunaris: which to pick

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

Pick GPT-5.2 Pro for a larger context window (400K against 8K tokens).

Model AGPT-5.2 ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BLlama 3 8B LunarisSao10KNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GPT-5.2 Pro has results on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2; 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
GPT-5.2 Pro 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
GPT-5.2 Pro $168.00 against Llama 3 8B Lunaris $0.05 per million output tokens, 3360.0x apart.
Context window
GPT-5.2 Pro takes 400K 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.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for GPT-5.2 Pro and Llama 3 8B Lunaris
BenchmarkGPT-5.2 ProLlama 3 8B LunarisLeader
Epoch Capabilities Index156.3Not measuredOnly GPT-5.2 Pro measured
Neither model has a result on the other 1 board here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Reasoning benchmarks for GPT-5.2 Pro and Llama 3 8B Lunaris
BenchmarkGPT-5.2 ProLlama 3 8B LunarisLeader
ARC-AGI90.5%Not measuredOnly GPT-5.2 Pro measured
ARC-AGI-254.2%Not measuredOnly GPT-5.2 Pro measured
SimpleBench57.4%Not measuredOnly GPT-5.2 Pro measured
Chess puzzles60.0%Not measuredOnly GPT-5.2 Pro measured
Neither model has a result on the other 19 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for GPT-5.2 Pro and Llama 3 8B Lunaris
BenchmarkGPT-5.2 ProLlama 3 8B LunarisLeader
FrontierMath, tiers 1 to 374.0%Not measuredOnly GPT-5.2 Pro measured
FrontierMath, tier 446.0%Not measuredOnly GPT-5.2 Pro measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Knowledge benchmarks for GPT-5.2 Pro and Llama 3 8B Lunaris
BenchmarkGPT-5.2 ProLlama 3 8B LunarisLeader
PRBench Finance46.3%Not measuredOnly GPT-5.2 Pro measured
PRBench Legal45.4%Not measuredOnly GPT-5.2 Pro measured
Neither model has a result on the other 18 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

GPT-5.2 Pro$0.105Fits 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

GPT-5.2 Pro$1.55Fits 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

GPT-5.2 Pro$5.88Fits 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 GPT-5.2 Pro and Llama 3 8B Lunaris
SpecificationOpenAI GPT-5.2 ProSao10K Llama 3 8B Lunaris
MakerOpenAISao10K
WeightsNo public weights listedOpen weights
ReleasedDecember 10, 2025August 13, 2024
Context window400K8K
Input $/Mtok$21.00$0.04
Output $/Mtok$168.00$0.05
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.2 Pro better than Llama 3 8B Lunaris for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5.2 Pro for a larger context window (400K against 8K tokens).

Which is cheaper, GPT-5.2 Pro or Llama 3 8B Lunaris?

GPT-5.2 Pro costs $21.00 per million input tokens and $168.00 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, GPT-5.2 Pro or Llama 3 8B Lunaris?

GPT-5.2 Pro, with 400K tokens against 8K.

Has any benchmark tested both GPT-5.2 Pro and Llama 3 8B Lunaris?

No benchmark has tested both yet. GPT-5.2 Pro has results on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2; Llama 3 8B Lunaris has none yet. Compare them on price and context instead. Data as of October 23, 2026.

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