Llama 4 Maverick vs Step 3.7 Flash
Step 3.7 Flash leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 19.5 to 9.3, at about the same output price ($1.15 vs $1.00 per million). Updated October 21, 2026; 16 benchmarks have a result for both.
Llama 4 Maverick 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 4 Maverick for output tokens 1.1x cheaper ($1.00 vs $1.15 per million) and a larger context window (524K against 262K tokens).
- Shared results
- 16
- Llama 4 Maverick only
- 68
- Step 3.7 Flash only
- 2
- 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 9.3.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Llama 4 Maverick has a AA Agentic Index result, 0.6.
Directional only
Reasoning
GPQA Diamond
No call
Only Llama 4 Maverick has a GPQA Diamond result, 69.4%.
Directional only
Math
AIME
No call
Only Llama 4 Maverick has a AIME result, 25.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Llama 4 Maverick has a MMLU Pro result, 79.4%.
Directional only
Web design
Design Arena: websites
Step 3.7 Flash
Step 3.7 Flash leads, 1196 against 871.
Same board, both measured
Long documents
Listed context window
Llama 4 Maverick
Llama 4 Maverick takes 524K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Step 3.7 Flash
Llama 4 Maverick $0.0008, Step 3.7 Flash $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Llama 4 Maverick has the number, $1.491.
Directional only
At a glance
- Coding index
- Llama 4 Maverick not benchmarked, Step 3.7 Flash not benchmarked.
- Widest category
- Agentic work, 80.7 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Llama 4 Maverick 17.8% against Step 3.7 Flash 98.5%, 80.7 points apart on a 0 to 100 scale.
- Output price
- Llama 4 Maverick $1.00 against Step 3.7 Flash $1.15 per million output tokens, 1.1x apart.
- Context window
- Llama 4 Maverick takes 524K 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 | Llama 4 Maverick | Bars | Step 3.7 Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 2 | ||
| Web design | 0 | 6 | ||
| General | 0 | 2 | ||
| All shared boards | 0 | 16 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | Llama 4 Maverick | Step 3.7 Flash | Leader |
|---|---|---|---|
| Aider polyglot | 15.6% | Not measured | Only Llama 4 Maverick measured |
| SWE-bench Verified | 21.0% | Not measured | Only Llama 4 Maverick measured |
| AA Coding Index | 16.3 | 39.6 | Step 3.7 Flash |
| LiveCodeBench (Vals AI) | 47.3% | Not measured | Only Llama 4 Maverick measured |
| LiveCodeBench (Artificial Analysis run) | 39.7% | Not measured | Only Llama 4 Maverick measured |
| SciCode | 31.7% | 43.9% | Step 3.7 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | 6.8% | 35.6% | Step 3.7 Flash |
| WeirdML | 24.5% | Not measured | Only Llama 4 Maverick measured |
| ALE-Bench | 173.0 | 694.1 | Step 3.7 Flash |
| LMArena Text: coding | 1301 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: software and IT | 1299 | Not measured | Only Llama 4 Maverick measured |
| Neither model has a result on the other 27 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Llama 4 Maverick | Step 3.7 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.3 | 19.5 | Step 3.7 Flash |
| Epoch Capabilities Index | 132.2 | Not measured | Only Llama 4 Maverick measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Llama 4 Maverick | Step 3.7 Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 0.6 | Not measured | Only Llama 4 Maverick measured |
| τ²-Bench Telecom | 17.8% | 98.5% | Step 3.7 Flash |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Maverick | Step 3.7 Flash | Leader |
|---|---|---|---|
| GPQA Diamond | 69.4% | Not measured | Only Llama 4 Maverick measured |
| MMMU Pro (Vals AI) | 71.7% | Not measured | Only Llama 4 Maverick measured |
| GPQA Diamond (Artificial Analysis run) | 67.1% | 80.9% | Step 3.7 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 4.9% | 21.4% | Step 3.7 Flash |
| ARC-AGI | 4.4% | Not measured | Only Llama 4 Maverick measured |
| ARC-AGI-2 | 0.0% | Not measured | Only Llama 4 Maverick measured |
| SimpleBench | 27.7% | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: hard prompts | 1281 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: expert | 1259 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: hard prompts in English | 1295 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: diagrams | 1134 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: homework | 1164 | Not measured | Only Llama 4 Maverick measured |
| Neither model has a result on the other 9 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Llama 4 Maverick | Step 3.7 Flash | Leader |
|---|---|---|---|
| AIME | 25.2% | Not measured | Only Llama 4 Maverick measured |
| MATH 500 (Vals AI) | 85.2% | Not measured | Only Llama 4 Maverick measured |
| MGSM (Vals AI) | 92.4% | Not measured | Only Llama 4 Maverick measured |
| AA Math Index | 19.3 | Not measured | Only Llama 4 Maverick measured |
| AIME 2025 (Artificial Analysis run) | 19.3% | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: math | 1299 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: mathematical work | 1295 | Not measured | Only Llama 4 Maverick measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
| Benchmark | Llama 4 Maverick | Step 3.7 Flash | Leader |
|---|---|---|---|
| MMLU Pro | 79.4% | Not measured | Only Llama 4 Maverick measured |
| LegalBench (Vals AI) | 77.8% | Not measured | Only Llama 4 Maverick measured |
| CorpFin (Vals AI) | 49.7% | Not measured | Only Llama 4 Maverick measured |
| TaxEval (Vals AI) | 66.6% | Not measured | Only Llama 4 Maverick measured |
| MortgageTax (Vals AI) | 58.5% | Not measured | Only Llama 4 Maverick measured |
| MedQA (Vals AI) | 43.3% | Not measured | Only Llama 4 Maverick measured |
| MedCode (Vals AI) | 36.5% | Not measured | Only Llama 4 Maverick measured |
| MMLU Pro (Artificial Analysis run) | 80.9% | Not measured | Only Llama 4 Maverick measured |
| GeoBench | 52.0% | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: science | 1288 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: medicine and healthcare | 1275 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: legal and government | 1286 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: business and finance | 1260 | Not measured | Only Llama 4 Maverick measured |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Llama 4 Maverick | Step 3.7 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 871 | 1196 | Step 3.7 Flash |
| Design Arena: UI components | 899 | 1179 | Step 3.7 Flash |
| Design Arena: game dev | 838 | 1158 | Step 3.7 Flash |
| Design Arena: data viz | 882 | 1172 | Step 3.7 Flash |
| Design Arena: 3D | 901 | 1129 | Step 3.7 Flash |
| Design Arena: all code categories | 880 | 1182 | Step 3.7 Flash |
| 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 | Llama 4 Maverick | Step 3.7 Flash | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 35.7% | Not measured | Only Llama 4 Maverick measured |
| MedScribe (Vals AI) | 54.2% | Not measured | Only Llama 4 Maverick measured |
| IFBench | 43.0% | 67.3% | Step 3.7 Flash |
| Long context reasoning (AA-LCR) | 50.0% | 73.7% | Step 3.7 Flash |
| DTBench | 61.9% | Not measured | Only Llama 4 Maverick measured |
| LMCA | 15.9% | Not measured | Only Llama 4 Maverick measured |
| Fiction.LiveBench | 46.2% | Not measured | Only Llama 4 Maverick measured |
| Creative writing (Lech Mazur) | 62.0% | Not measured | Only Llama 4 Maverick measured |
| LMArena Text | 1287 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: instruction following | 1267 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: creative writing | 1266 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision | 1142 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: English | 1303 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: non-English | 1269 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: Chinese | 1277 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: German | 1291 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: Japanese | 1206 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: Korean | 1203 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: French | 1259 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: Spanish | 1293 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: Russian | 1286 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: Polish | 1275 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: multi-turn | 1289 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: longer queries | 1280 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: writing and language | 1277 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: entertainment and media | 1250 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: English | 1150 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: Chinese | 1141 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: reading text | 1143 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: humor | 1100 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: creative writing | 1099 | Not measured | Only Llama 4 Maverick measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Llama 4 Maverick | 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 | Meta Llama 4 Maverick | StepFun Step 3.7 Flash |
|---|---|---|
| Maker | Meta Llama | StepFun |
| Weights | Open weights | Open weights |
| Released | April 5, 2025 | May 28, 2026 |
| Context window | 524K | 262K |
| Input $/Mtok | $0.35 | $0.20 |
| Output $/Mtok | $1.00 | $1.15 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | $1.491 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Llama 4 Maverick 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 4 Maverick for output tokens 1.1x cheaper ($1.00 vs $1.15 per million) and a larger context window (524K against 262K tokens).
Which is cheaper, Llama 4 Maverick or Step 3.7 Flash?
Llama 4 Maverick costs $0.35 per million input tokens and $1.00 per million output tokens; Step 3.7 Flash costs $0.20 and $1.15. Cost per solved task is known for Llama 4 Maverick only.
Which has the bigger context window, Llama 4 Maverick or Step 3.7 Flash?
Llama 4 Maverick, with 524K tokens against 262K.
How many benchmarks is the Llama 4 Maverick vs Step 3.7 Flash comparison based on?
16 benchmarks have a result for both models as of October 21, 2026. Llama 4 Maverick'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.