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Gemini 3.1 Pro vs Recraft V4.1 Flash

Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

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Gemini 3.1 Pro
google/gemini-3.1-pro
Recraft V4.1 Flash
recraft/recraftv4-1-flash
Provider
Google
Recraft
Family
Gemini 3
Recraft
Modality
text
image
Context window
1,000,000 tok
—
Max output
65,536 tok
—
Released
2026-05-22
2026-10-14
License
Proprietary
Proprietary
Input price
$2.00 /1M
—
Output price
$12.00 /1M
—
Cache read
$0.200 /1M
—
Per image
—
$0.0070 /img
Tools
yes
—
Streaming
yes
—
Vision
yes
—
JSON mode
yes
—
Reasoning
yes
—
Prompt caching
yes
—
Batch API
—
—
Try it
Open in playground →
View model →
Gemini 3.1 Pro
google/gemini-3.1-pro
Full spec →

Google's most intelligent Gemini model with improved reasoning, a medium thinking level, and a 1M token context window.

Strengths
  • 2M-token context
  • Native video + audio input
  • Cheapest long-context reasoning
Use cases
Video understandingVery long-document RAGCodebase-scale reasoning
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
Use cases
Marketing assetsProduct mockupsConcept art

Benchmarks

Gemini 3.1 Pro
Recraft V4.1 Flash
Long-Context
94.2
—
MMLU
89.6
—

Source: each provider's published benchmarks. Higher is better. Run an eval to compare on your own data.

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Gemini 3.1 Pro vs Claude Sonnet 4.6
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Gemini 3.1 Pro vs Kimi-K2.7-Code
google/gemini-3.1-pro · moonshot/kimi-k2.7-code
Gemini 4 Argon vs Recraft V4.1 Flash
google/gemini-4-argon · recraft/recraftv4-1-flash
Gemini 4 Argon vs Gemini 3.1 Pro
google/gemini-4-argon · google/gemini-3.1-pro
Claude Sonnet 5.5 vs Recraft V4.1 Flash
anthropic/claude-sonnet-5.5 · recraft/recraftv4-1-flash
Claude Sonnet 5.5 vs Gemini 3.1 Pro
anthropic/claude-sonnet-5.5 · google/gemini-3.1-pro
GPT-6.1 Sol vs Recraft V4.1 Flash
openai/gpt-6.1-sol · recraft/recraftv4-1-flash
SWITCH BETWEEN THEM

One key, all 2, one line different.

from openai import OpenAI

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

# Gemini 3.1 Pro
client.chat.completions.create(
    model="google/gemini-3.1-pro",
    messages=[{"role":"user","content":"hello"}],
)

# Recraft V4.1 Flash
client.chat.completions.create(
    model="recraft/recraftv4-1-flash",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →