Step 3.7 Flash
stepfun/step-3.7-flash
multimodal sparse-MoE reasoning.
cmd --model stepfun/step-3.7-flash
Intelligence index
30.9
Output speed
391.3 tok/s
Input
$0.20 /M
Output
$1.15 /M
Cache read
$0.04 /M
Agent-loop cost
$0.09 /M in
Context window
256K tokens
Released
May 29, 2026
Modalities
→
vs. the lineup
Step 3.7 Flash beside its stablemates and nearest rivals. The ◆ marks the best value in each column across every row shown.
pin a rival:
| Model | Intelligence | Coding | Speed | Input $/M | Output $/M | Blended $/M | Context |
|---|---|---|---|---|---|---|---|
| Muse Spark 1.2 Contributor | 56.8◆ | 72.2◆ | —◆ | $0.10◆ | $0.20◆ | $0.13◆ | 1.05M◆ |
| Kimi K2.5 | 36◆ | 46.8◆ | —◆ | $0.60◆ | $3◆ | $1.20◆ | 256K◆ |
| MiniMax M2.5 | 34.5◆ | —◆ | —◆ | $0.30◆ | $1.20◆ | $0.52◆ | 200K◆ |
| Step 3.7 Flash ◆ | 30.9◆ | 39.6◆ | 391.3◆ | $0.20◆ | $1.15◆ | $0.44◆ | 256K◆ |
| Step 3.5 Flash | 26.5◆ | —◆ | —◆ | $0.10◆ | $0.30◆ | $0.15◆ | 1M◆ |
| Gemini 3.1 Flash Lite | 25.6◆ | 34.7◆ | —◆ | $0.25◆ | $1.50◆ | $0.56◆ | 1M◆ |
| DeepSeek V4 Pro (latest)pinned | 45.3◆ | 59.4◆ | 63.3◆ | $0.66◆ | $1.98◆ | $0.99◆ | 1M◆ |
| DeepSeek V4 Flash (latest)pinned | 52◆ | 69.1◆ | 115.9◆ | $0.22◆ | $0.66◆ | $0.33◆ | 1M◆ |
coding performance
The Intelligence Index and its sub-scores, ranked against every scored model in the catalog. A metric that has not been measured for Step 3.7 Flash has been left empty.
Coding Index
39.6
#39 of 40 scored
Terminal-Bench
39.3
#39 of 40 scored
Intelligence Index
30.9
#43 of 46 scored
Long-context reasoning
69.7
reasoning across a long context
SciCode
40
scientific coding
GPQA Diamond
80.9
graduate-level QA
usage calculator
How far a month of credits goes on Step 3.7 Flash.
Input tokensfresh prompt
800Output tokensmodel reply
180Cache read tokensre-read context
50Kcost / request $0.0024 · in $0.20 · out $1.15 · cache $0.04 per M
fresh input 7%output 9%cache reads 84%
Requests / 30 days
4.2K
$10 credits ÷ $0.0024 per request
~845 quick fixes~169 bug fixes~28 feature PRs
what real work costs
Real coding tasks priced end to end on Step 3.7 Flash, from a quick lookup to a full-repo agent run.
One agent task
$0.03
180K in at 75% cache hit, 12K out
What you pay
$0.15 /M
all-in across every token that task touched
Sticker input
$0.20 /M
cache reads bill at $0.04 /M instead
| Task | Tokens in · out | Step 3.7 Flash | Muse Spark 1.2 Contributor | Claude Haiku 4.5 |
|---|---|---|---|---|
| Quick lookup / one-liner | 8K · 1K | $0.0016 | $0.0003 | $0.0065 |
| Review a 500-line PR | 60K · 4K | $0.0099 | $0.0027 | $0.04 |
| Fix a bug (agent loop) | 180K · 12K | $0.03 | $0.0072 | $0.12 |
| Refactor a module | 320K · 20K | $0.05 | $0.01 | $0.21 |
| Full-repo agent run | 900K · 45K | $0.12 | $0.03 | $0.49 |
frequently asked
What is Step 3.7 Flash best for?
Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters per token. The model supports a 256K context window and exposes selectable reasoning levels (high/medium/low), letting callers trade off speed, cost, and depth of reasoning. Designed for coding, agentic workflows, structured outputs, and long-context productivity tasks.
How much does Step 3.7 Flash cost?
$0.20/M input and $1.15/M output, cache reads $0.04/M. In an agent loop most input is cache-read, so the effective input rate is about $0.09/M.Which plan do I need?
Available on Go and above.
How do I switch to it?
Run
cmd --model stepfun/step-3.7-flash, or type /model in a session and pick it. You can switch mid-session without losing context.Ship code that matches your taste
Command Code is the AI coding agent that continuously learns your taste. Start for $1.
Benchmarks from Artificial Analysis (v4.1)commandcode.ai/models/step-3-7-flash