Llama 3 8B Lunaris vs Step 3.7 Flash
Llama 3 8B Lunaris costs 23.0x less per output token than Step 3.7 Flash ($0.05 vs $1.15 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.05
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.15
Llama 3 8B Lunaris or Step 3.7 Flash: 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 23.0x cheaper ($0.05 vs $1.15 per million).
No benchmark has tested both yet. Llama 3 8B Lunaris has none yet; Step 3.7 Flash on AA Coding Index, SciCode and Terminal-Bench Hard (Artificial Analysis run). 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Step 3.7 Flash has a AA Intelligence Index result, 19.5.
Directional only
Web design
Design Arena: websites
No call
Only Step 3.7 Flash has a Design Arena: websites result, 1196.
Directional only
Long documents
Listed context window
Step 3.7 Flash
Step 3.7 Flash takes 262K tokens against 8K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 3 8B Lunaris
Llama 3 8B Lunaris $0.0001, Step 3.7 Flash $0.0008 per turn.
List prices
At a glance
- Coding index
- Llama 3 8B Lunaris not benchmarked, Step 3.7 Flash 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 Step 3.7 Flash $1.15 per million output tokens, 23.0x apart.
- Context window
- Llama 3 8B Lunaris takes 8K tokens, Step 3.7 Flash 262K.
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 Index4 boards measured
| Benchmark | Llama 3 8B Lunaris | Step 3.7 Flash | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 39.6 | Only Step 3.7 Flash measured |
| SciCode | Not measured | 43.9% | Only Step 3.7 Flash measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 35.6% | Only Step 3.7 Flash measured |
| ALE-Bench | Not measured | 694.1 | Only Step 3.7 Flash measured |
| Neither model has a result on the other 39 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Llama 3 8B Lunaris | Step 3.7 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 19.5 | Only Step 3.7 Flash measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Llama 3 8B Lunaris | Step 3.7 Flash | Leader |
|---|---|---|---|
| τ²-Bench Telecom | Not measured | 98.5% | Only Step 3.7 Flash measured |
| Neither model has a result on the other 41 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Llama 3 8B Lunaris | Step 3.7 Flash | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 80.9% | Only Step 3.7 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 21.4% | Only Step 3.7 Flash measured |
| Neither model has a result on the other 21 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Llama 3 8B Lunaris | Step 3.7 Flash | Leader |
|---|---|---|---|
| MathArena | Not measured | 19.1% | Only Step 3.7 Flash measured |
| Neither model has a result on the other 13 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | Llama 3 8B Lunaris | Step 3.7 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1196 | Only Step 3.7 Flash measured |
| Design Arena: UI components | Not measured | 1177 | Only Step 3.7 Flash measured |
| Design Arena: game dev | Not measured | 1157 | Only Step 3.7 Flash measured |
| Design Arena: data viz | Not measured | 1172 | Only Step 3.7 Flash measured |
| Design Arena: 3D | Not measured | 1129 | Only Step 3.7 Flash measured |
| Design Arena: all code categories | Not measured | 1181 | Only Step 3.7 Flash measured |
| Design Arena: SVG | Not measured | 1083 | Only Step 3.7 Flash measured |
| Design Arena: ASCII art | Not measured | 1152 | Only Step 3.7 Flash measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Llama 3 8B Lunaris | Step 3.7 Flash | Leader |
|---|---|---|---|
| IFBench | Not measured | 67.3% | Only Step 3.7 Flash measured |
| Long context reasoning (AA-LCR) | Not measured | 73.7% | Only Step 3.7 Flash measured |
| Neither model has a result on the other 46 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
Llama 3 8B Lunaris costs less
Repository review
50K input + 3K output tokens
Llama 3 8B Lunaris costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | Sao10K Llama 3 8B Lunaris | StepFun Step 3.7 Flash |
|---|---|---|
| Maker | Sao10K | StepFun |
| Weights | Open weights | Open weights |
| Released | August 13, 2024 | May 28, 2026 |
| Context window | 8K | 262K |
| Input $/Mtok | $0.04 | $0.20 |
| Output $/Mtok | $0.05 | $1.15 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Llama 3 8B Lunaris better than Step 3.7 Flash 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 23.0x cheaper ($0.05 vs $1.15 per million).
Which is cheaper, Llama 3 8B Lunaris or Step 3.7 Flash?
Llama 3 8B Lunaris costs $0.04 per million input tokens and $0.05 per million output tokens; Step 3.7 Flash costs $0.20 and $1.15. Cost per solved task is known for neither of them.
Which has the bigger context window, Llama 3 8B Lunaris or Step 3.7 Flash?
Step 3.7 Flash, with 262K tokens against 8K.
Has any benchmark tested both Llama 3 8B Lunaris and Step 3.7 Flash?
No benchmark has tested both yet. Llama 3 8B Lunaris has none yet; Step 3.7 Flash on AA Coding Index, SciCode and Terminal-Bench Hard (Artificial Analysis run). Compare them on price and context instead. Data as of October 22, 2026.