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Models/StepFun

StepFun: Step 3.7 Flash

Newer StepFun flash model for faster agents, coding, and multimodal prompts

Source-linked Open weights Released 2026-05-29
API record Report
InputT
OutputT
Input price$0.185/M
Output price$1.11/M
Context256K
Max output256K
Providers18
Inference availability

Providers

Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.

Report a price
Providers offering Step 3.7 Flash
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
UnoRouter step-3.7-flash:free 256K 256K — — — ReasoningTools Docs ↗
Kenari step-3-7-flash 256K 256K — — — ReasoningTools Docs ↗
Nvidia stepfun-ai/step-3.7-flash 256K 16.384K — — — ReasoningTools Docs ↗
StepFun Step Plan (Global) step-3.7-flash 256K 256K — — — ReasoningTools Docs ↗
StepFun Step Plan (China) step-3.7-flash 256K 256K — — — ReasoningTools Docs ↗
StepFun (Global) step-3.7-flash 256K 256K $0.185 $1.11 $0.037 ReasoningTools Docs ↗
StepFun (China) step-3.7-flash 256K 256K $0.185 $1.11 $0.037 ReasoningTools Docs ↗
Ambient stepfun/step-3.7-flash 262.144K 262.144K $0.19 $1.14 $0.03 ReasoningToolsJSON Docs ↗
Deep Infra stepfun-ai/Step-3.7-Flash 262.144K 256K $0.2 $1.15 $0.04 ReasoningTools Docs ↗
Eden AI flexai/Step-3.7-Flash 262.144K 256K $0.2 $1.15 — Reasoning Docs ↗
ZenMux stepfun/step-3.7-flash 256K 256K $0.2 $1.15 — ReasoningTools Docs ↗
Requesty step-3.7-flash 262.144K 256K $0.2 $1.15 $0.04 ReasoningToolsJSON Docs ↗
Eden AI deepinfra/stepfun-ai/Step-3.7-Flash 262.144K 256K $0.2 $1.15 $0.04 ReasoningToolsJSON Docs ↗
EmpirioLabs AI step-3-7-flash 256K 131.072K $0.2 $1.15 $0.04 ReasoningToolsJSON Docs ↗
Kilo Gateway stepfun/step-3.7-flash 256K 230.4K $0.2 $1.15 $0.04 ReasoningToolsJSON Docs ↗
Vercel AI Gateway stepfun/step-3.7-flash 256K 256K $0.2 $1.15 $0.04 ReasoningTools Docs ↗
OpenRouter stepfun/step-3.7-flash 262.144K 230.4K $0.2 $1.15 $0.04 ReasoningToolsJSON Docs ↗
Hugging Face stepfun-ai/Step-3.7-Flash 262.144K 256K $0.2 $1.15 — ReasoningTools Docs ↗

Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.

Listed rates

Price across providers

Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.

Lowest input $0.185/M

Across 13 priced providers

Median input $0.2/M

Midpoint of listed rates

Highest input $0.2/M

1.1× the lowest listed rate

Output range $1.11 – $1.15

Per million output tokens

StepFun (Global) $0.185/M
StepFun (China) $0.185/M
Ambient $0.19/M
Deep Infra $0.2/M
Eden AI $0.2/M
ZenMux $0.2/M
Requesty $0.2/M
Eden AI $0.2/M
EmpirioLabs AI $0.2/M
Kilo Gateway $0.2/M
Vercel AI Gateway $0.2/M
OpenRouter $0.2/M
Hugging Face $0.2/M
Cost calculator

Estimate a workload

$0.00
Excludes taxes, non-token charges, and tiered discounts.

2 providers list the identical $0.185 input rate, so price alone will not separate them — compare context limits, max output, and capabilities above.

Context limits also differ by provider, from 256K to 262.144K tokens. Compare the provider table above before choosing on price alone.

Specification

Capabilities

Recorded from the source catalog and provider listings.

✓ Reasoning Yes
✓ Tool calling Yes
✓ Structured output Yes
✓ Attachments Yes
✓ Vision input Yes
✓ Open weights Yes
Creator
StepFun
Model family
Not documented
Knowledge cutoff
2026-03-01
License
Not documented
Release date
2026-05-29
Model ID
stepfun/step-3.7-flash

Weights: Hugging Face ↗

Published evaluations

Benchmarks

Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.

Benchmark registry
Benchmark profile
Coding IndexCoding Index Agentic IndexAgentic Index IntelligenceIntelligence Index Design Arena: w…Design Arena: website Design Arena: c…Design Arena: codecategories Design Arena: g…Design Arena: gamedev Design Arena: d…Design Arena: dataviz Design Arena: u…Design Arena: uicomponent This model — Coding Index: 39.6 index (39.3th percentile) This model — Agentic Index: 21.7 index (54.4th percentile) This model — Intelligence Index: 30.9 index (60.9th percentile) This model — Design Arena: website: 1206 elo (52.0th percentile) This model — Design Arena: codecategories: 1196 elo (49.1th percentile) This model — Design Arena: gamedev: 1180 elo (44.9th percentile) This model — Design Arena: dataviz: 1186 elo (42.7th percentile) This model — Design Arena: uicomponent: 1196 elo (48.1th percentile)

Each axis is this model's percentile among the 8 benchmarks it has published results for, measured against every other model with a score on that same benchmark. Percentiles are used because benchmarks do not share a scale — a 60 on one is not a 60 on another. Hover any point for the raw score.

Coding Index index Source ↗
Coding Index #125 of 205
Agentic Index index Source ↗
Agentic Index #87 of 193
Intelligence Index index Source ↗
Intelligence Index #75 of 192
Design Arena: website elo Source ↗
Design Arena: website #83 of 175
Design Arena: codecategories elo Source ↗
Design Arena: codecategories #85 of 167
Design Arena: gamedev elo Source ↗
Design Arena: gamedev #92 of 166
Design Arena: dataviz elo Source ↗
Design Arena: dataviz #95 of 165
Design Arena: uicomponent elo Source ↗
Design Arena: uicomponent #84 of 161
Design Arena: 3d elo Source ↗
Design Arena: 3d #96 of 157
Design Arena: svg elo Source ↗
Design Arena: svg #95 of 116
Design Arena: asciiart elo Source ↗
Design Arena: asciiart #59 of 99
SWE-Bench Pro resolve rate · 2026-05-29 Source ↗
SWE-Bench Pro #17 of 38
SWE-Bench Verified resolved · 2026-05-29 Source ↗
SWE-Bench Verified #14 of 32
SciCode percent correct · 2026-06-15 Source ↗
SciCode #4 of 27
Artificial Analysis Coding Index index · 2026-06-15 Source ↗
Artificial Analysis Coding Index #2 of 26
Terminal-Bench Hard success rate · 2026-06-15 Source ↗
Terminal-Bench Hard #2 of 22
Humanity's Last Exam accuracy · 2026-05-29 Source ↗
Humanity's Last Exam #12 of 20
BrowseComp accuracy · 2026-05-29 Source ↗
BrowseComp #14 of 15
Terminal-Bench — 2.1 success rate · 2026-05-29 Source ↗
Terminal-Bench #9 of 12
GDPval wins or ties · 2026-05-29 Source ↗
GDPval #6 of 6
Toolathlon success rate · 2026-05-29 Source ↗
Toolathlon #6 of 6
ClawEval — 1.1 pass^3 · 2026-05-29 Source ↗
67.1 1 model scored — too few for a distribution

Each strip shows every published score for that benchmark, with this model marked. The lighter shape behind the ticks is the density of results, and the dashed line is the median.

Cost against capability

Price and performance

Listed input price plotted against Coding Index, the benchmark with the widest published coverage that this model appears in.

0 43 86 $0.01 $0.1 $1 $10 Claude Opus 5 — $5/M, score 78.0 OpenAI: GPT-5.1 (batch) — $0.625/M, score 49.4 Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 43.9 OpenAI: GPT-5 (batch) — $0.625/M, score 37.8 Gemini 3.1 Flash Lite Preview — $0.25/M, score 34.7 Gemma 3 27B IT — $0.08/M, score 10.1 OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 20.2 Gemma 4 31B IT — $0.09/M, score 43.4 Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 9.7 GPT-5.4 — $2.5/M, score 71.1 GPT-5.6 Luna — $0.2/M, score 71.4 Gemini 3.5 Flash Lite — $0.3/M, score 49.3 Mistral: Mistral Large 3 2512 (batch) — $0.25/M, score 20.1 OpenAI: o3 Mini High (batch) — $0.55/M, score 16.3 Qwen: Qwen3.8 Max (0902) — $2/M, score 71.8 Gemini 3.5 Flash — $1.5/M, score 70.1 Z.ai: GLM 5.3 Flash (batch) — $0.075/M, score 71.5 Gemma 3 12B IT — $0.05/M, score 5.8 GPT-4.1 mini — $0.4/M, score 20.2 DeepSeek V4 Pro — $0.435/M, score 59.4 Claude Sonnet 5 — $2/M, score 71.5 Mistral: Ministral 3 8B 2512 — $0.15/M, score 9.7 OpenAI: o1 (batch) — $7.5/M, score 39.7 Z.ai: GLM 5.1 — $0.966/M, score 55.8 Gemini 3.7 Flash — $0.75/M, score 76.1 LongCat-2.0 — $0.3/M, score 45.3 Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 74.3 Mistral: Mistral Large 3 2512 — $0.5/M, score 20.1 DeepSeek V3.2 — $0.18/M, score 44.2 OpenAI: GPT-5.5 (batch) — $2.5/M, score 74.9 Anthropic: Claude Opus 4.7 — $5/M, score 73.6 Google: Gemini 3.5 Flash (batch) — $0.75/M, score 70.1 OpenAI: GPT-5.4 Nano (batch) — $0.1/M, score 56.1 Google: Gemini 2.5 Pro (batch) — $0.625/M, score 33.3 Inception: Mercury 2 — $0.25/M, score 31.1 OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 11.1 Gemini 3.6 Flash — $0.75/M, score 69.2 Anthropic: Claude Sonnet 4.5 — $3/M, score 52.1 OpenAI: GPT-4o-mini (batch) — $0.075/M, score 11.4 Qwen: Qwen3.5-9B (batch) — $0.17/M, score 28.7 GPT-5.4 mini — $0.75/M, score 56.1 Gemma 4 26B A4B IT — $0.042/M, score 39.3 Claude Fable 5 — $10/M, score 76.5 Mistral: Mistral Small 4 (batch) — $0.075/M, score 26.6 Gemini 2.5 Pro — $1.25/M, score 33.3 Z.ai: GLM 5.3 Flash — $0.15/M, score 71.5 OpenAI: GPT-3.5 Turbo (batch) — $0.25/M, score 10.7 MiniMax: MiniMax M3 — $0.3/M, score 58.6 DeepSeek: DeepSeek V4 Pro 0813 (batch) — $0.66/M, score 68.8 Thinking Machines: Inkling Small (batch) — $0.5/M, score 52.9 Anthropic: Claude Fable 5.1 — $10/M, score 81.6 Google: Gemma 4 31B (batch) — $0.39/M, score 43.4 Qwen: Qwen3.8 2.4T A95B (batch) — $2/M, score 71.9 Mistral: Devstral 2 2512 — $0.4/M, score 31.3 MoonshotAI: Kimi K2.7 Code (batch) — $0.95/M, score 60.8 DeepSeek-R1 — $0.7/M, score 24.6 Inkling — $1.87/M, score 52.1 OpenAI: gpt-oss-20b (batch) — $0.05/M, score 20.7 Muse Spark 1.1 — $1.25/M, score 71.3 MiMo-V2.5 — $0.14/M, score 56.8 Google: Gemini 3.5 Flash Lite (batch) — $0.15/M, score 49.3 Kimi K2 Thinking — $0.4/M, score 21.0 Mistral: Mistral Medium 3.5 (batch) — $0.75/M, score 46.9 Qwen: Qwen3.8 Max (0803) — $2/M, score 68.9 Mistral: Mistral Medium 3.1 (batch) — $0.2/M, score 20.5 GPT-5.1 — $1.25/M, score 49.4 Qwen: Qwen3.8 27B — $0.42/M, score 68.1 Anthropic: Claude Fable 5.1 (batch) — $5/M, score 81.6 Google: Gemini 3.8 Flash (batch) — $0.375/M, score 76.3 Google: Gemini 3.7 Flash (batch) — $0.375/M, score 76.1 inclusionAI: Ling 3.0 Flash VL — $0.06/M, score 57.0 Z.ai: GLM 5.3 (batch) — $0.7/M, score 74.8 DeepSeek: DeepSeek V4 Flash 0731 (batch) — $0.11/M, score 69.1 MoonshotAI: Kimi K3 (batch) — $3/M, score 76.2 Inkling Small — $0.45/M, score 52.9 GPT-5.5 — $5/M, score 74.9 Anthropic: Claude Sonnet 5 (batch) — $1/M, score 71.5 Anthropic: Claude Fable 5 (batch) — $5/M, score 76.5 Nemotron 3 Super 120B A12B — $0.2/M, score 37.7 IBM: Granite 4.2 8B — $0.06/M, score 22.4 Thinking Machines: Inkling (batch) — $1/M, score 52.1 GPT OSS 120B — $0.03/M, score 30.4 GPT-4 — $30/M, score 13.1 SpaceXAI: Grok 4.6 — $2/M, score 76.8 DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 43.5 GPT-5 Mini — $0.25/M, score 15.6 Gemma 3 4B IT — $0.04/M, score 2.7 Claude Opus 5 (batch) — $2.5/M, score 78.0 OpenAI: GPT-6 Astra (batch) — $5/M, score 76.9 OpenAI: GPT-5.6 Terra (batch) — $1/M, score 76.7 OpenAI: GPT-5.4 (batch) — $1.25/M, score 71.1 DeepSeek V4 Flash — $0.15/M, score 52.0 Kimi K2.7 Code — $0.95/M, score 60.8 DeepSeek V4 Pro 0813 — $0.442/M, score 68.8 Z.ai: GLM 5.2 (batch) — $0.7/M, score 68.8 Google: Gemini 3.6 Flash (batch) — $0.375/M, score 69.2 Nemotron 3 Nano 30B A3B — $0.05/M, score 14.4 Z.ai: GLM 5.3 — $1.4/M, score 74.8 Anthropic: Claude Opus 4.8 — $5/M, score 74.3 SpaceXAI: Grok 4.3 — $1.25/M, score 42.2 GPT-5.6 Terra — $2/M, score 76.7 MiniMax: MiniMax M3 (batch) — $0.3/M, score 58.6 Gemini 3.8 Flash — $0.75/M, score 76.3 NVIDIA: Nemotron 3 Ultra (batch) — $0.6/M, score 49.3 MiniMax: MiniMax M2.7 — $0.3/M, score 52.6 SpaceXAI: Grok 4.5 — $2/M, score 72.4 Mistral: Mistral Medium 3.1 — $0.4/M, score 20.5 Kimi K2.6 — $0.95/M, score 61.8 Kimi K3 — $3/M, score 76.2 Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 52.1 OpenAI: gpt-oss-120b (batch) — $0.15/M, score 30.4 GPT-3.5-turbo — $0.5/M, score 10.7 Solar Pro 4 — $0.3/M, score 52.7 Gemini 3.1 Pro Preview — $2/M, score 68.8 Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 73.6 MiMo-V2.5-Pro — $0.435/M, score 60.2 Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 68.8 Anthropic: Claude Sonnet 4.6 — $3/M, score 63.0 Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 63.0 DeepSeek V4 Flash 0731 — $0.05/M, score 69.1 GPT-5 — $1.25/M, score 37.8 OpenAI: GPT-5 Mini (batch) — $0.125/M, score 15.6 GPT-6 Astra — $10/M, score 76.9 inclusionAI: Ling 3.0 Flash — $0.021/M, score 50.6 Qwen: Qwen3.7 Plus — $0.32/M, score 55.9 SpaceXAI: Grok 4.3 (batch) — $1/M, score 42.2 GPT-4 Turbo — $10/M, score 21.5 Nemotron 3 Ultra 550B A55B — $0.5/M, score 49.3 Anthropic: Claude Sonnet 4 — $3/M, score 37.6 OpenAI: GPT-5.6 Luna (batch) — $0.1/M, score 71.4 OpenAI: GPT-5.4 Mini (batch) — $0.375/M, score 56.1 Qwen: Qwen3.8 2.4T A95B — $2/M, score 71.9 OpenAI: GPT-5.6 Sol (batch) — $1/M, score 77.4 Qwen: Qwen3.6 Plus — $0.325/M, score 54.5 Z.ai: GLM 4.6 — $0.43/M, score 45.8 GPT-4o (2024-05-13) — $5/M, score 24.2 Muse Spark 1.2 — $1.25/M, score 72.2 Qwen: Qwen3 Next 80B A3B Thinking — $0.15/M, score 17.4 GPT-5.6 Sol — $4/M, score 77.4 OpenAI: GPT-4 Turbo (batch) — $5/M, score 21.5 GPT-5.4 nano — $0.2/M, score 56.1 Nemotron 3.5 Lightning 30B A3B — $0.05/M, score 26.8 Hy3 preview — $0.066/M, score 58.8 GPT-4.1 nano — $0.1/M, score 11.1 GPT OSS 20B — $0.02/M, score 20.7 GPT-4o mini — $0.15/M, score 11.4 o1 — $15/M, score 39.7 Kimi K2.5 — $0.3/M, score 46.8 Trinity Large Thinking — $0.25/M, score 25.8 Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 12.1 Z.ai: GLM 5.2 — $0.966/M, score 68.8 Qwen: Qwen3.7 Max — $1.475/M, score 66.0 SpaceXAI: Grok Build 0.1 — $1/M, score 51.5 Qwen: Qwen3.6 35B A3B — $0.1/M, score 41.9 Qwen: Qwen3.6 27B — $0.3/M, score 53.7 inclusionAI: Ling-2.6-flash — $0.01/M, score 25.3 Mistral: Mistral Small 4 — $0.15/M, score 26.6 Kwaipilot: KAT-Coder-Pro V2 — $0.3/M, score 59.5 Qwen: Qwen3.5-9B — $0.1/M, score 28.7 Qwen: Qwen3.5-35B-A3B — $0.312/M, score 37.0 Qwen: Qwen3.5-122B-A10B — $0.26/M, score 45.7 Upstage: Solar Pro 3 — $0.15/M, score 16.2 Z.ai: GLM 4.7 — $0.4/M, score 45.3 Amazon: Nova 2 Lite — $0.3/M, score 23.0 Mistral: Ministral 3 3B 2512 — $0.1/M, score 4.8 Google: Gemma 3n 4B — $0.06/M, score 3.2 Meta: Llama 4 Maverick — $0.2/M, score 16.3 OpenAI: o3 Mini High — $1.1/M, score 16.3 Meta: Llama 3.3 70B Instruct — $0.1/M, score 11.9 Meta: Llama 3.1 8B Instruct — $0.05/M, score 5.4 Nex AGI: Nex-N2-Pro — $0.25/M, score 59.1 Mistral: Mistral Medium 3.5 — $1.5/M, score 46.9 inclusionAI: Ring-2.6-1T — $0.075/M, score 42.8 IBM: Granite 4.1 8B — $0.05/M, score 9.5 Qwen: Qwen3.5 397B A17B — $0.55/M, score 48.2 Qwen: Qwen3 Coder Next — $0.12/M, score 36.2 Mistral: Ministral 3 14B 2512 — $0.2/M, score 14.4 Anthropic: Claude Haiku 4.5 — $1/M, score 43.9 Qwen: Qwen3 235B A22B Thinking 2507 — $0.23/M, score 22.1 Qwen: Qwen3 8B — $0.117/M, score 9.0 Qwen: Qwen3 14B — $0.227/M, score 13.8 Qwen: Qwen3 32B — $0.08/M, score 15.3 Meta: Llama 4 Scout — $0.1/M, score 8.2 DeepSeek: DeepSeek V3 0324 — $0.25/M, score 21.2 Cohere: Command A — $2.5/M, score 27.8 Step 3.7 Flash — $0.185/M, score 39.6 Step 3.7 Flash Input price per million tokens (log scale) Index

The stepped line is the efficient frontier: at each price, the best score available for that money or less. A model sitting on it is not being beaten by anything cheaper. Price is log-scaled because listed rates span four orders of magnitude. Only models with both a listed price and a score on this benchmark can appear.

Catalog activity

Change log

Field-level changes detected between successful source imports.

Full change log
Max Output Tokens230400 → 256000
Price Completion1.15 → 1.11
Price Prompt0.19999999999999998 → 0.185
Max Output Tokens256000 → 230400
Price Completion1.11 → 1.15
Price Prompt0.185 → 0.19999999999999998
Max Output Tokens230400 → 256000
Price Completion1.15 → 1.11
Price Prompt0.19999999999999998 → 0.185
Max Output Tokens256000 → 230400
Provenance

Sources & verification

Every figure on this page traces back to one of these records.

Methodology
Last verified
Sep 11, 2026
Status
Source-linked
Confidence
Medium
Catalog source
Models.dev
Models.devcatalog ↗UnoRouter documentationprovider documentation ↗Kenari documentationprovider documentation ↗Nvidia documentationprovider documentation ↗StepFun Step Plan (Global) documentationprovider documentation ↗StepFun Step Plan (China) documentationprovider documentation ↗StepFun (Global) documentationprovider documentation ↗StepFun (China) documentationprovider documentation ↗Ambient documentationprovider documentation ↗Deep Infra documentationprovider documentation ↗Eden AI documentationprovider documentation ↗ZenMux documentationprovider documentation ↗
Public API

Use this record

Fetch the complete source-linked model record. No key, no account, no rate-limited tier.

API documentation
Endpoint
GET https://model.kyssta.lol/api/v1/models/stepfun/step-3.7-flash
curl
curl "https://model.kyssta.lol/api/v1/models/stepfun/step-3.7-flash"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is Step 3.7 Flash?

Newer StepFun flash model for faster agents, coding, and multimodal prompts. It is published by StepFun and catalogued here from Models.dev.

How much does Step 3.7 Flash cost?

Listed input pricing starts at $0.185 per million tokens from StepFun (Global), rising to $0.2 across 13 listed providers.

What is the context length of Step 3.7 Flash?

Step 3.7 Flash accepts up to 256K tokens of context and returns up to 256K output tokens.

Does Step 3.7 Flash support tool calling and structured output?

Provider catalogs list support for tool calling, structured output, reasoning, and image input.

Which providers serve Step 3.7 Flash?

17 providers list this model: UnoRouter, Kenari, Nvidia, StepFun Step Plan (Global), StepFun Step Plan (China), StepFun (Global) and 11 more.

Are the weights for Step 3.7 Flash open?

Yes. The weights are published and downloadable from Hugging Face.

When was Step 3.7 Flash released?

The catalog records a release date of 2026-05-29, last verified Sep 11, 2026.

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