Compare

Grok 4.7 vs Pareto

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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Grok 4.7
xai/grok-4.7
P
Pareto
unbiased/pareto
Provider
xAI
Unbiased
Family
Grok 4
Modality
text
text
Context window
500,000 tok
262,144 tok
Max output
32,768 tok
32,768 tok
Released
2026-09-22
2026-09-17
License
Proprietary
Open-weight
Input price
$2.00 /1M
$2.50 /1M
Output price
$6.00 /1M
$7.50 /1M
Tools
Streaming
yes
yes
Vision
yes
JSON mode
Reasoning
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
Grok 4.7
xai/grok-4.7
Full spec →

xAI's Grok 4.7, a frontier reasoning model for coding, agentic tasks, and knowledge work. Accepts text and image inputs, and supports function calling, structured outputs, and configurable reasoning effort (low, medium, high, xhigh).

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows
Pareto
unbiased/pareto
Full spec →

Pareto is Unbiased's blended AI model. It engages multiple language models in parallel for each request, synthesizes one answer, and supports text and vision inputs through a single API response.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows

Compare with another

Grok 4.7 vs GPT-6 Astra
xai/grok-4.7 · openai/gpt-6-astra
Grok 4.7 vs Claude Fable 5.1
xai/grok-4.7 · anthropic/claude-fable-5.1
Grok 4.7 vs Claude Opus 5
xai/grok-4.7 · anthropic/claude-opus-5
Grok 4.7 vs Gemini 3.8 Flash
xai/grok-4.7 · google/gemini-3.8-flash
Grok 4.7 vs Glm-5.3
xai/grok-4.7 · zai-org/glm-5.3
Grok 4.7 vs Qwen3.8 Max
xai/grok-4.7 · alibaba/qwen3.8-max
Grok 4.7 vs Kimi K3
xai/grok-4.7 · moonshot/kimi-k3
Grok 4.7 vs GPT-5.6 Sol
xai/grok-4.7 · openai/gpt-5.6-sol
Grok 4.7 vs Qwen3.6 Plus
xai/grok-4.7 · alibaba/qwen3.6-plus
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-...",
)

# Grok 4.7
client.chat.completions.create(
    model="xai/grok-4.7",
    messages=[{"role":"user","content":"hello"}],
)

# Pareto
client.chat.completions.create(
    model="unbiased/pareto",
    messages=[{"role":"user","content":"hello"}],
)
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