Nova Premier 1.0 vs Step 3.7 Flash
Step 3.7 Flash leads Nova Premier 1.0 on the Artificial Analysis Intelligence Index, 19.5 to 9.2, and Step 3.7 Flash costs 10.9x less per output token ($1.15 vs $12.50 per million). Updated October 21, 2026; 9 benchmarks have a result for both.
Nova Premier 1.0 or Step 3.7 Flash: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Nova Premier 1.0 for a larger context window (1M against 262K tokens) and work measured by Terminal-Bench Hard (Artificial Analysis run) or ALE-Bench, where it leads.
- Shared results
- 9
- Nova Premier 1.0 only
- 4
- Step 3.7 Flash only
- 9
- Like-for-like categories
- 6 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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
Step 3.7 Flash
Step 3.7 Flash leads, 19.5 against 9.2.
Same board, both measured
Web design
Design Arena: websites
Step 3.7 Flash
Step 3.7 Flash leads, 1196 against 835.
Same board, both measured
Long documents
Listed context window
Nova Premier 1.0
Nova Premier 1.0 takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Step 3.7 Flash
Nova Premier 1.0 $0.0088, Step 3.7 Flash $0.0008 per turn.
List prices
At a glance
- Coding index
- Nova Premier 1.0 not benchmarked, Step 3.7 Flash not benchmarked.
- Widest category
- Agentic work, 60.2 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Nova Premier 1.0 38.3% against Step 3.7 Flash 98.5%, 60.2 points apart on a 0 to 100 scale.
- Output price
- Nova Premier 1.0 $12.50 against Step 3.7 Flash $1.15 per million output tokens, 10.9x apart.
- Context window
- Nova Premier 1.0 takes 1M tokens, Step 3.7 Flash 262K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Nova Premier 1.0 | Bars | Step 3.7 Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 2 | ||
| Web design | 0 | 1 | ||
| General | 0 | 2 | ||
| All shared boards | 0 | 9 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
| Benchmark | Nova Premier 1.0 | Step 3.7 Flash | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 39.6 | Only Step 3.7 Flash measured |
| LiveCodeBench (Artificial Analysis run) | 31.7% | Not measured | Only Nova Premier 1.0 measured |
| SciCode | Not measured | 43.9% | Only Step 3.7 Flash measured |
| Terminal-Bench Hard (Artificial Analysis run) | 6.8% | 35.6% | Step 3.7 Flash |
| ALE-Bench | 147.4 | 694.1 | Step 3.7 Flash |
| Neither model has a result on the other 33 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Premier 1.0 | Step 3.7 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.2 | 19.5 | Step 3.7 Flash |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Premier 1.0 | Step 3.7 Flash | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 38.3% | 98.5% | Step 3.7 Flash |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Premier 1.0 | Step 3.7 Flash | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 56.9% | 80.9% | Step 3.7 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 4.2% | 21.4% | Step 3.7 Flash |
| Neither model has a result on the other 19 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Nova Premier 1.0 | Step 3.7 Flash | Leader |
|---|---|---|---|
| AA Math Index | 17.3 | Not measured | Only Nova Premier 1.0 measured |
| AIME 2025 (Artificial Analysis run) | 17.3% | Not measured | Only Nova Premier 1.0 measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Nova Premier 1.0 | Step 3.7 Flash | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 73.3% | Not measured | Only Nova Premier 1.0 measured |
| Neither model has a result on the other 16 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Premier 1.0 | Step 3.7 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 835 | 1196 | Step 3.7 Flash |
| Design Arena: UI components | Not measured | 1179 | Only Step 3.7 Flash measured |
| Design Arena: game dev | Not measured | 1158 | 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 | 1182 | Only Step 3.7 Flash measured |
| Design Arena: SVG | Not measured | 1085 | 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 | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Premier 1.0 | Step 3.7 Flash | Leader |
|---|---|---|---|
| IFBench | 36.2% | 67.3% | Step 3.7 Flash |
| Long context reasoning (AA-LCR) | 34.3% | 73.7% | Step 3.7 Flash |
| Neither model has a result on the other 44 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Premier 1.0 | Step 3.7 Flash | Leader |
|---|---|---|---|
| Neither model has a result on 5 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 | Amazon Nova Premier 1.0 | StepFun Step 3.7 Flash |
|---|---|---|
| Maker | Amazon | StepFun |
| Weights | No public weights listed | Open weights |
| Released | October 31, 2025 | May 28, 2026 |
| Context window | 1M | 262K |
| Input $/Mtok | $2.50 | $0.20 |
| Output $/Mtok | $12.50 | $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 Nova Premier 1.0 better than Step 3.7 Flash for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Premier 1.0 for a larger context window (1M against 262K tokens) and work measured by Terminal-Bench Hard (Artificial Analysis run) or ALE-Bench, where it leads.
Which is cheaper, Nova Premier 1.0 or Step 3.7 Flash?
Nova Premier 1.0 costs $2.50 per million input tokens and $12.50 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, Nova Premier 1.0 or Step 3.7 Flash?
Nova Premier 1.0, with 1M tokens against 262K.
How many benchmarks is the Nova Premier 1.0 vs Step 3.7 Flash comparison based on?
9 benchmarks have a result for both models as of October 21, 2026. Nova Premier 1.0's coding index rests on 0 independent benchmarks and Step 3.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.