aiticker

StepFun · Released May 28, 2026

Step 3.7 Flash

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...

ReasoningOpen weightsVision
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Released
May 28 2026
Context window
262K 230K out
Input / 1M tokens
$0.20 from Free
Output / 1M tokens
$1.15 from Free

Where to run it

21 providers compared

Free to try on UnoRouter, ZenMux, Kenari — free endpoints are often limited-time and rate-limited. Cheapest: Ambient at $0.19 / $1.14 per 1M input / output tokens — 18% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
UnoRouterfree · may be limited-time Free Free —256K256K— Free
ZenMuxfree · may be limited-time Free Free —256K256K— Free
Kenarifree · may be limited-time Free Free —256K256K— Free
Ambient $0.19 $1.14 $0.03262K262K— Cheapest
NovitaFP8 $0.20 $1.15 $0.04262K256K100%24h +2%
StepFunFP8 $0.20 $1.15 $0.04256K230K100%24h +2%
NanoGPT $0.20 $1.15 $0.04262K256K— +2%
Kilo Gateway $0.20 $1.15 $0.04256K230K— +2%
Vercel AI Gateway $0.20 $1.15 $0.04256K256K— +2%
LLM Gateway $0.20 $1.15 $0.04262K256K— +2%
Requesty $0.20 $1.15 $0.04262K256K— +2%
ZenMux $0.20 $1.15 $0.04256K256K— +2%
Novita AI $0.20 $1.15 $0.04262K256K— +2%
DevPass (LLM Gateway) $0.20 $1.15 $0.04262K256K— +2%
Hugging Face $0.20 $1.15 —262K256K— +2%
CommandCode $0.20 $1.15 $0.04256K256K— +2%
StepFun (Global) $0.20 $1.15 $0.04256K256K— +2%
EmpirioLabs AI $0.20 $1.15 $0.04256K131K— +2%
Deep Infra $0.20 $1.15 $0.04262K256K— +2%
Eden AI $0.20 $1.15 $0.03262K256K— +2%
StepFun (China) $0.20 $1.21 $0.04256K256K— +6%
AIHubMix $0.22 $1.32 $0.044256K256K— +16%
Kenari $0.24 $1.37 $0.048256K256K— +22%

Value

Price vs. performance

13 models score higher for the same price or lesson SciCode, e.g. GLM 5.3.
13.2%31.1%49.0%66.9% $0.001$0.01$0.10$1.00$10.00 DeepSeek V4.1 Flash 1017 (DeepSeek) — 51.8% · $0.15/1M in Gemini 4 Argon (Google) — 61.8% · $2.00/1M in Claude Haiku 5.5 (Anthropic) — 55.0% · $0.10/1M in Mistral Large 4 (Mistral) — 54.2% · $1.36/1M in GPT-6.1 Sol (OpenAI) — 55.8% · $2.00/1M in Claude Sonnet 5.5 (Anthropic) — 61.0% · $2.00/1M in GPT-6 Luna (OpenAI) — 54.6% · $0.10/1M in GPT-6 Sol (OpenAI) — 57.6% · $2.00/1M in Claude Opus 5.5 (Anthropic) — 66.9% · $4.00/1M in MiMo-V2.6-Flash (Xiaomi) — 51.3% · $0.14/1M in MiMo-V2.6-Pro (Xiaomi) — 60.9% · $0.43/1M in Grok 4.7 (xAI) — 57.8% · $2.00/1M in DeepSeek V4.1 Flash (DeepSeek) — 51.8% · $0.30/1M in GPT-6 Astra (OpenAI) — 56.5% · $10.00/1M in Qwen3.8 Max (0902) (Qwen) — 53.2% · $2.00/1M in Muse Spark 1.3 (Meta) — 59.7% · $1.25/1M in Gemini 3.8 Flash (Google) — 56.6% · $0.82/1M in Claude Fable 5.1 (Anthropic) — 63.1% · $10.00/1M in GLM 5.3 Flash (Z.ai) — 51.6% · $0.005/1M in GLM 5.3 (Z.ai) — 59.0% · $0.079/1M in Qwen3.8 27B (Qwen) — 46.6% · $0.04/1M in Gemini 3.7 Flash (Google) — 59.8% · $0.75/1M in DeepSeek V4 Pro 0813 (DeepSeek) — 51.0% · $0.66/1M in Grok 4.6 (xAI) — 56.5% · $2.00/1M in Muse Spark 1.2 (Meta) — 57.4% · $1.25/1M in DeepSeek V4 Flash 0731 (DeepSeek) — 49.9% · $0.44/1M in Claude Opus 5 (Anthropic) — 56.4% · $5.00/1M in Gemini 3.6 Flash (Google) — 53.4% · $0.75/1M in Gemini 3.5 Flash Lite (Google) — 41.3% · $0.30/1M in Kimi K3 (Moonshot AI) — 59.5% · $0.24/1M in Muse Spark 1.1 (Meta) — 58.8% · $1.25/1M in GPT-5.6 Luna (OpenAI) — 53.6% · $0.20/1M in GPT-5.6 Terra (OpenAI) — 55.0% · $2.00/1M in GPT-5.6 Sol (OpenAI) — 57.8% · $4.00/1M in Grok 4.5 (xAI) — 55.0% · $2.00/1M in Claude Sonnet 5 (Anthropic) — 54.3% · $2.00/1M in GLM 5.2 (Z.ai) — 51.2% · $0.034/1M in Kimi K2.7 Code (Moonshot AI) — 47.8% · $0.67/1M in Claude Fable 5 (Anthropic) — 61.0% · $10.00/1M in Qwen3.7 Plus (Qwen) — 46.1% · $0.32/1M in MiniMax M3 (MiniMax) — 47.1% · $0.30/1M in Claude Opus 4.8 (Anthropic) — 53.5% · $5.00/1M in Qwen3.7 Max (Qwen) — 49.5% · $1.48/1M in Grok Build 0.1 (xAI) — 50.2% · $1.00/1M in Gemini 3.5 Flash (Google) — 53.9% · $1.50/1M in Gemini 3.1 Flash Lite (Google) — 43.4% · $0.25/1M in Grok 4.3 (xAI) — 48.3% · $1.25/1M in Qwen3.6 35B A3B (Qwen) — 36.6% · $0.10/1M in Qwen3.6 27B (Qwen) — 37.3% · $0.25/1M in GPT-5.5 (OpenAI) — 56.1% · $5.00/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 51.0% · $0.45/1M in DeepSeek V4 Flash 0423 (DeepSeek) — 49.9% · $0.091/1M in MiMo-V2.5-Pro (Xiaomi) — 50.2% · $0.30/1M in MiMo-V2.5 (Xiaomi) — 43.1% · $0.12/1M in Kimi K2.6 (Moonshot AI) — 53.5% · $0.65/1M in Claude Opus 4.7 (Anthropic) — 54.5% · $5.00/1M in GLM 5.1 (Z.ai) — 44.8% · $1.40/1M in Gemma 4 31B (Google) — 45.5% · $0.20/1M in Qwen3.6 Plus (Qwen) — 40.7% · $0.33/1M in MiniMax M2.7 (MiniMax) — 50.1% · $0.30/1M in GPT-5.4 Nano (OpenAI) — 47.2% · $0.20/1M in GPT-5.4 Mini (OpenAI) — 52.1% · $0.75/1M in Mistral Small 4 (Mistral) — 27.8% · $0.15/1M in Qwen3.5-9B (Qwen) — 29.5% · $0.08/1M in GPT-5.4 (OpenAI) — 56.6% · $2.50/1M in Gemini 3.1 Flash Lite Preview (Google) — 43.4% · $0.25/1M in Qwen3.5-35B-A3B (Qwen) — 29.3% · $0.14/1M in Qwen3.5-122B-A10B (Qwen) — 35.6% · $0.40/1M in Gemini 3.1 Pro Preview (Google) — 58.7% · $2.00/1M in Claude Sonnet 4.6 (Anthropic) — 46.8% · $3.00/1M in Qwen3 Coder Next (Qwen) — 36.2% · $0.12/1M in Kimi K2.5 (Moonshot AI) — 49.0% · $0.50/1M in GLM 4.7 (Z.ai) — 45.1% · $0.54/1M in Mistral Large 3 2512 (Mistral) — 36.6% · $0.50/1M in DeepSeek V3.2 (DeepSeek) — 38.9% · $0.28/1M in GPT-5.1 (OpenAI) — 43.3% · $1.25/1M in Claude Haiku 4.5 (Anthropic) — 42.3% · $1.00/1M in GLM 4.6 (Z.ai) — 38.4% · $0.55/1M in Claude Sonnet 4.5 (Anthropic) — 45.7% · $3.00/1M in DeepSeek V3.2 Exp (DeepSeek) — 38.9% · $0.27/1M in DeepSeek V3.1 Terminus (DeepSeek) — 38.0% · $0.27/1M in GPT-5 (OpenAI) — 42.9% · $1.25/1M in GPT-5 Mini (OpenAI) — 39.2% · $0.25/1M in gpt-oss-120b (OpenAI) — 36.0% · $0.15/1M in gpt-oss-20b (OpenAI) — 38.9% · $0.018/1M in Qwen3 235B A22B Thinking 2507 (Qwen) — 41.4% · $0.45/1M in Gemini 2.5 Pro (Google) — 46.3% · $1.25/1M in Gemini 2.5 Pro Preview 06-05 (Google) — 46.3% · $1.25/1M in R1 0528 (DeepSeek) — 38.3% · $0.50/1M in Qwen3 14B (Qwen) — 31.6% · $0.12/1M in Qwen3 32B (Qwen) — 35.4% · $0.08/1M in GPT-4.1 Mini (OpenAI) — 40.4% · $0.40/1M in GPT-4.1 Nano (OpenAI) — 25.9% · $0.10/1M in Gemma 3 12B (Google) — 16.4% · $0.05/1M in Gemma 3 27B (Google) — 23.3% · $0.08/1M in o3 Mini (OpenAI) — 42.8% · $1.10/1M in Llama 3.3 70B Instruct (Meta) — 26.0% · $0.10/1M in Mistral Large 2407 (Mistral) — 36.6% · $2.00/1M in Llama 3.1 8B Instruct (Meta) — 13.2% · $0.05/1M in Mistral Large (Mistral) — 36.6% · $2.00/1M in Step 5 Preview (StepFun) — 58.9% · $1.00/1M in Step 3.7 Flash (StepFun) — 40.1% · $0.20/1M in Step 3.7 Flash

Step 3.7 Flash Other StepFun Other labs Value frontier · SciCode vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.

Benchmarks

2 benchmark scores

BenchmarkScoreRankLeader
SciCodeSoftware engineering · Research-coding problems from the natural sciences 40.1% #77of 102 Claude Opus 5.566.9%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 2.3% #68of 111 GPT-5.6 Sol32.3%

Specs

Details

Model ID
stepfun/step-3.7-flash
Developer
StepFun
Release date
May 28, 2026 ·
Context window
262,144 tokens
Max output
230,400 tokens
API price
$0.20 / $1.15 per 1M input / output tokens
Providers
21
Input types
text, image, video
Reasoning
Yes
Tool calling
Yes
Open weights
Yes
Free tier
No

Release date and prices from OpenRouter's catalog; providers from OpenRouter and models.dev. Buying directly from a provider can cost a little differently. Speed, latency and uptime are measured on OpenRouter only; uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.