Gemini 4 Argon vs Grok 4.7

As of October 21, 2026, Gemini 4 Argon and Grok 4.7 cost the same per input token ($2.00 per 1M), but Gemini 4 Argon costs 67% more per output token ($10.00 vs $6.00) and has a 1M-token context window versus 500K. Gemini 4 Argon's price is introductory through November 30, 2026.

Prices from LiteLLM's price fileChecked October 21, 2026

Gemini 4 Argon vs Grok 4.7 side by side

Headline prices in US dollars per 1M tokens: each model's own lab where it sells it, otherwise its cheapest provider. Source: LiteLLM model price file, as of October 21, 2026.
	Gemini 4 Argon	Grok 4.7
Input, per 1M tokens	$2.00	$2.00
Output, per 1M tokens	$10.00	$6.00
Cache read, per 1M tokens	$0.10	$0.50
Cache write, per 1M tokens	–	–
Context window	1,048,576 tokens	500,000 tokens
Max output	1,048,576 tokens	500,000 tokens
Image input	Yes	Yes
Tool calling	Yes	Yes
Structured output (JSON)	Yes	Yes
Prompt caching	Yes	Yes
Reasoning	Yes	Yes
Providers on LiteLLM	3	6
Price shown is from	Google AI Studio, introductory until November 30, 2026	xAI
Added to LiteLLM	October 13, 2026	September 21, 2026

Cheapest provider for each

Gemini 4 Argon: Google AI Studio at $2.00 input and $10.00 output per 1M tokens (gemini/gemini-4-argon)
Grok 4.7: xAI at $2.00 input and $6.00 output per 1M tokens (xai/grok-4.7)

Benchmark scores

From the Epoch AI Benchmarking Hub (CC BY 4.0), data as of October 13, 2026. Some results were run by Epoch and others collected by Epoch from each benchmark's own leaderboard, linked in the first column. Each model's best reported reasoning setting is shown in brackets. Higher is better. Only benchmarks with a score for both models are shown.
Benchmark	Gemini 4 Argon	Grok 4.7
Overall
Epoch Capabilities Index	166.4	154.4
Coding and agents
FrontierCode	47.5% (medium)	47.6%
FrontierSWE	55.0% (high)	29.5% (xhigh)
APEX-Agents	82.4%	54.6%
Reasoning and knowledge
GPQA Diamond	96.4% (high)	92.7% (xhigh)
ARC-AGI-2	91.3% (high)	61.4% (xhigh)
SimpleQA Verified	76.0% (high)	56.0% (xhigh)
Math
FrontierMath (tiers 1-3)	86.0% (high)	53.0% (xhigh)
FrontierMath (tier 4)	78.0% (high)	17.1% (xhigh)
OTIS Mock AIME 2024-2025	100.0% (high)	98.1% (xhigh)

When to pick which

Pick Gemini 4 Argon for

Larger context window: 1,048,576 vs 500,000 tokens.
Returns up to 1,048,576 tokens per response, vs 500,000.

Pick Grok 4.7 for

Costs 40% less per output token: $6.00 vs $10.00 per 1M.
Available from 6 providers through LiteLLM, vs 3.

From differences in the data above only; where the data is equal, no reason is given.

Call Gemini 4 Argon or Grok 4.7 with LiteLLM

Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.

Python SDK

from litellm import completion

messages = [{"role": "user", "content": "Hello!"}]

# Gemini 4 Argon
response = completion(model="gemini/gemini-4-argon", messages=messages)

# Grok 4.7
response = completion(model="xai/grok-4.7", messages=messages)

# Gemini 4 Argon, falling back to Grok 4.7 if the call fails
response = completion(model="gemini/gemini-4-argon", messages=messages, fallbacks=["xai/grok-4.7"])

FAQ

Which is cheaper, Gemini 4 Argon or Grok 4.7?

Grok 4.7 is cheaper at 3 input tokens per output token: $3.00 per 1M tokens blended ($2.00 input, $6.00 output), versus $4.00 ($2.00 and $10.00) for Gemini 4 Argon, as of October 21, 2026.

Which has the larger context window, Gemini 4 Argon or Grok 4.7?

Gemini 4 Argon has the larger context window: 1,048,576 tokens, versus 500,000 for Grok 4.7.

Can I switch from Gemini 4 Argon to Grok 4.7 without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "gemini/gemini-4-argon" to "xai/grok-4.7", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.