compare/Gemini 3.7 FlashvsFLUX.1 Kontext [Pro]

Gemini 3.7 Flash vs FLUX.1 Kontext [Pro]

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.
 Gemini 3.7 Flash
google/gemini-3.7-flash
FLUX.1 Kontext [Pro]
black-forest-labs/flux-1-kontext-pro
ProviderGoogleBlack Forest Labs
FamilyGemini 3FLUX
Modalitytextimage
Context window1,048,576 tok
Max output65,536 tok
Released2026-08-142026-08-19
Input price$0.750 /1M$0.040 /img
Output price$3.75 /1M
Cache read
Toolsyes
Streamingyes
Visionyes
JSON modeyes
Reasoning
Prompt caching
Gemini 3.7 Flash
google/gemini-3.7-flash
Full spec →

Gemini 3.7 Flash is a highly capable, natively multimodal reasoning model optimized for agentic workflows and real-world tasks.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
FLUX.1 Kontext [Pro]
black-forest-labs/flux-1-kontext-pro
Full spec →

FLUX.1 Kontext [pro] creates and edits images from text prompts with strong character and style consistency.

Strengths
  • Text-to-image generation
  • Creative control
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 Gemini 3.7 Flash
client.chat.completions.create(
    model="google/gemini-3.7-flash",
    messages=[{"role":"user","content":"hello"}],
)

# Try FLUX.1 Kontext [Pro] — same client, same key
client.chat.completions.create(
    model="black-forest-labs/flux-1-kontext-pro",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyAdd a third model

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