Model vs model
Llama 4 Maverick vs Step 3.7 Flash
Step 3.7 Flash costs about the same as Llama 4 Maverick, at $0.44 against $0.42 per 1M tokens blended, so price barely matters here. Its higher Intelligence Index score, 19.5 against 9.3, is a clear gap that justifies the choice, with wide leads on IFBench (67.3 vs 43) and Humanity's Last Exam (21.4 vs 4.9). Step 3.7 Flash also allows 256K output tokens, while Llama 4 Maverick caps output at 8K.
At a glance
Longer bar means the bigger number.
Blended price · per 1M tokens, lower is better
Intelligence Index · Artificial Analysis, higher is better
Context window · tokens it can read at once
Where they sit among all 44 models
Llama 4 Maverick ranks 42nd of the 43 models with an Intelligence Index, Step 3.7 Flash 32nd. Up and to the left is smarter for less money. Hover or tap a dot for its numbers, then click it to compare that model with Llama 4 Maverick.
Which one to pick
Pick Llama 4 Maverick if
- you want the lower bill ($0.42 vs $0.44 per 1M tokens blended)
Pick Step 3.7 Flash if
- you want the higher overall score (19.5 vs 9.3)
- you care about IFBench (instruction following): 67.3 vs 43
- you care about AA-LCR (long documents): 73.7 vs 50
- you need a longer context window (256K vs 128K tokens)
How smart is each one?
Of the 8 scores both models have, Step 3.7 Flash is ahead on every one.
Every intelligence score we have
Out of 100, higher is better. Llama 4 Maverick Step 3.7 Flash
Overall
Intelligence Index
9.319.5
By area
Coding
16.339.6Math
19.3Step 3.7 Flash: not scored yet
Agentic work
0.6Step 3.7 Flash: not scored yet
By field of work
Finance & accounting
9Step 3.7 Flash: not scored yet
Legal
11.5Step 3.7 Flash: not scored yet
Economics
13Step 3.7 Flash: not scored yet
Engineering
11.3Step 3.7 Flash: not scored yet
Strategy & operations
7.6Step 3.7 Flash: not scored yet
Benchmarks
Hard reasoning · Humanity's Last Exam
4.921.4Science · GPQA Diamond
67.180.9Knowledge · MMLU-Pro
80.9Step 3.7 Flash: not scored yet
Competitive coding · LiveCodeBench
39.7Step 3.7 Flash: not scored yet
Scientific coding · SciCode
31.743.9Terminal tasks · Terminal-Bench 4.0
0Step 3.7 Flash: not scored yet
Tool use · τ-Bench Banking
3.712Instruction following · IFBench
4367.3Long documents · AA-LCR
5073.7Competition math · AIME 2025
19.3Step 3.7 Flash: not scored yet
Competition math · AIME 2024
39Step 3.7 Flash: not scored yet
Math · MATH-500
88.9Step 3.7 Flash: not scored yet
The specs
| Spec | Llama 4 Maverick | Step 3.7 Flash |
|---|---|---|
| Input price | $0.24 per 1M | $0.20 per 1M |
| Output price | $0.97 per 1M | $1.15 per 1M |
| Cost per test task | Not tested | Not tested |
| Context window | 128K | 256K |
| Max output | 8K | 256K |
| Accepts | Text, Image | Text, Image |
| Open weights | Yes | Yes |
| Lab | Meta | StepFun |
| Released | Apr 2025 | May 2026 |
| Knowledge cutoff | Aug 2024 | Mar 2026 |
Blended price weighs 3 parts input to 1 part output. List prices from models.dev.
Questions
Is Llama 4 Maverick or Step 3.7 Flash cheaper?
Llama 4 Maverick is cheaper. It charges $0.24 per 1M input tokens and $0.97 per 1M output tokens, against $0.20 and $1.15 for Step 3.7 Flash. Blended 3 parts input to 1 part output, that is $0.42 against $0.44 per 1M tokens.
Which is smarter, Llama 4 Maverick or Step 3.7 Flash?
Step 3.7 Flash scores higher on the Artificial Analysis Intelligence Index, 19.5 against 9.3 for Llama 4 Maverick. The biggest differences are on IFBench (43 vs 67.3) and AA-LCR (50 vs 73.7).
Which has the longer context window?
Step 3.7 Flash accepts 256K tokens, against 128K for Llama 4 Maverick.
Can I compare Llama 4 Maverick and Step 3.7 Flash on my own prompt?
Yes. ModelCompare sends one prompt to both models at once and shows each answer side by side with what it cost. You can try it free without an account.
Related comparisons
Where the numbers come from
Intelligence Index and benchmark scores are from Artificial Analysis, at each model’s highest effort, except SimpleQA, which is from Epoch AI, and the Uncensored score, which is from the UGI Leaderboard. The hallucination test is ours: questions with one exact answer, fake evidence pushed against right answers and requests that tempt a model to name packages that don’t exist. Prices are list prices from models.dev. Example answers come from our own test runs. Updated October 25, 2026.