Llama 3.3 Euryale 70B vs Step 3.7 Flash
Llama 3.3 Euryale 70B costs 1.5x less per output token than Step 3.7 Flash ($0.75 vs $1.15 per million). Updated November 14, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.75
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.15
Llama 3.3 Euryale 70B 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 3.3 Euryale 70B for output tokens 1.5x cheaper ($0.75 vs $1.15 per million).
No benchmark has tested both yet. Llama 3.3 Euryale 70B 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
Web design
Design Arena: websites
No call
Only Step 3.7 Flash has a Design Arena: websites result, 1186.
Directional only
Long documents
Listed context window
Step 3.7 Flash
Step 3.7 Flash takes 262K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Step 3.7 Flash
Llama 3.3 Euryale 70B $0.0010, Step 3.7 Flash $0.0008 per turn.
List prices
At a glance
- Coding index
- Llama 3.3 Euryale 70B 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 3.3 Euryale 70B $0.75 against Step 3.7 Flash $1.15 per million output tokens, 1.5x apart.
- Context window
- Llama 3.3 Euryale 70B takes 131K 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 Index5 boards measured
| Benchmark | Llama 3.3 Euryale 70B | 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 |
| GameBench 2 | Not measured | 29.4 | Only Step 3.7 Flash measured |
| Neither model has a result on the other 47 boards here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Llama 3.3 Euryale 70B | 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 43 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Llama 3.3 Euryale 70B | 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 24 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Llama 3.3 Euryale 70B | Step 3.7 Flash | Leader |
|---|---|---|---|
| MathArena | Not measured | 19.0% | 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 3.3 Euryale 70B | Step 3.7 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1186 | Only Step 3.7 Flash measured |
| Design Arena: UI components | Not measured | 1167 | Only Step 3.7 Flash measured |
| Design Arena: game dev | Not measured | 1142 | Only Step 3.7 Flash measured |
| Design Arena: data viz | Not measured | 1171 | Only Step 3.7 Flash measured |
| Design Arena: 3D | Not measured | 1108 | Only Step 3.7 Flash measured |
| Design Arena: all code categories | Not measured | 1169 | Only Step 3.7 Flash measured |
| Design Arena: SVG | Not measured | 1074 | Only Step 3.7 Flash measured |
| Design Arena: ASCII art | Not measured | 1142 | 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 index3 boards measured
| Benchmark | Llama 3.3 Euryale 70B | 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 |
| GDPval-AA | Not measured | 864 | 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
Step 3.7 Flash costs less
Repository review
50K input + 3K output tokens
Step 3.7 Flash costs less
Agent loop
200K input + 10K output tokens
Step 3.7 Flash 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 3.3 Euryale 70B | StepFun Step 3.7 Flash |
|---|---|---|
| Maker | Sao10K | StepFun |
| Weights | Open weights | Open weights |
| Released | December 18, 2024 | May 28, 2026 |
| Context window | 131K | 262K |
| Input $/Mtok | $0.65 | $0.20 |
| Output $/Mtok | $0.75 | $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 3.3 Euryale 70B 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 3.3 Euryale 70B for output tokens 1.5x cheaper ($0.75 vs $1.15 per million).
Which is cheaper, Llama 3.3 Euryale 70B or Step 3.7 Flash?
Llama 3.3 Euryale 70B costs $0.65 per million input tokens and $0.75 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 3.3 Euryale 70B or Step 3.7 Flash?
Step 3.7 Flash, with 262K tokens against 131K.
Has any benchmark tested both Llama 3.3 Euryale 70B and Step 3.7 Flash?
No benchmark has tested both yet. Llama 3.3 Euryale 70B 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 November 14, 2026.