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Head to head

Grok 4.7 vs Gemini 4 Argon

How Grok 4.7 and Gemini 4 Argon stack up across benchmarks, pricing, speed, and the workloads that matter.

Grok 4.7

xAI · Proprietary

Blended price$2.44per 1M tokens
Context500Ktokens
Speedn/atok/s
Benchmarks23results
VS

Gemini 4 Argon

Google · Proprietary

Blended pricen/aper 1M tokens
Contextn/atokens
Speedn/atok/s
Benchmarks19results

On coding, Gemini 4 Argon leads by about 16 points in our normalized benchmark average.

The table below breaks down every workload axis where both models have published results. Each score is a normalized 0 to 1 average across the benchmarks tagged with that category. A gap of a few points is noise; a gap of ten or more is a real difference in capability. Where one model has not reported a result, the cell shows n/a and the missing benchmark does not drag its average down.

Benchmark scores by workload

WorkloadGrok 4.7Gemini 4 ArgonEdge
Reasoning 59% 71% +12 pts
Coding 49% 65% +16.1 pts
Agents & tool use 42% 56% +14.6 pts
Math n/a 76% n/a
Vision & multimodal n/a 82% n/a
Long context n/a 88% n/a
Writing 55% n/a n/a
Knowledge & factuality 38% 57% +19.3 pts

The headline benchmarks below are the most widely cited individual tests. GPQA Diamond measures graduate-level reasoning in physics, chemistry, and biology. SWE-Bench Verified tests whether a model can fix real GitHub issues. MMMU-Pro covers college-level multimodal understanding across six disciplines. AIME and FrontierMath push competitive and research math. BrowseComp measures web research ability.

Headline benchmarks

BenchmarkGrok 4.7Gemini 4 Argon

Benchmarks tell you what a model can do in a controlled setting. They do not tell you whether it will work on your specific task, with your specific data, at your specific scale. The recommendations below map each common workload to whichever of these two models scores higher on the relevant axis. Use them as a starting point, not a final answer.

Which should you choose?

Hard reasoning

Multi-step analysis, research, and problems that need sustained thought.

Gemini 4 Argon

Coding & software

Writing, reviewing, and debugging code across a real codebase.

Gemini 4 Argon

Agents & tool use

Long-running agents that call tools, browse, and act on their own.

Gemini 4 Argon

Math & science

Formal math, competitive problems, and quantitative science.

Gemini 4 Argon

Vision & documents

Reading images, screenshots, charts, and dense documents.

Gemini 4 Argon

Long documents

Whole codebases, books, and transcripts that fill the context window.

Gemini 4 Argon

Writing & drafting

Copy, emails, and long-form drafting where tone matters.

Grok 4.7

Scores are normalized from public benchmarks published by llm-stats.com and averaged per workload. Pricing is the blended input/output cost per million tokens at an 8:1 mix. Refreshes daily. How this works.