compare/Recraft V4.1 FlashvsO3

Recraft V4.1 Flash vs O3

Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

RUN BOTH LIVE

Paste a prompt. Watch them race.

Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.

Sign in to runLive streaming uses your own key. It's free to sign up.
 Recraft V4.1 Flash
recraft/recraftv4-1-flash
O3
openai/o3
ProviderRecraftOpenAI
FamilyRecrafto-series
Modalityimagetext
Context window—200,000 tok
Max output—100,000 tok
Released2026-10-142026-05-22
Input price$0.0070 /img$2.00 /1M
Output price—$8.00 /1M
Cache read——
Tools——
Streaming—yes
Vision——
JSON mode——
Reasoning——
Prompt caching——
Recraft V4.1 Flash
recraft/recraftv4-1-flash
Full spec →

Recraft V4.1 Flash is Recraft's fastest and lowest-cost image model, generating a 1K raster image in about 1.3 seconds with quality close to Recraft V4.1. Built for high-volume generation and rapid iteration, with strong results for photography, portraits, atmospheric scenes, mixed media, and logo concepts. It outputs raster images only and does not support styles.

Strengths
  • Text-to-image generation
  • Creative control
O3
openai/o3
Full spec →

o3 is OpenAI’s general-purpose reasoning model, balancing strong analytical performance with reasonable latency and cost.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
SWITCH BETWEEN THEM

One key, both models, one line different.

# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# Try Recraft V4.1 Flash
client.chat.completions.create(
    model="recraft/recraftv4-1-flash",
    messages=[{"role":"user","content":"hello"}],
)

# Try O3 — same client, same key
client.chat.completions.create(
    model="openai/o3",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyAdd a third model

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