Grok 4 Fast (Reasoning)
BenchLM is tracking Grok 4 Fast (Reasoning), but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
Grok 4 Fast (Reasoning) is a proprietary model with a 2M token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
This profile currently has 1 of 178 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Ranking Distribution
Category rank across 0 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
Inst. Following
Chatbot Arena Performance
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
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Frequently Asked Questions
How does Grok 4 Fast (Reasoning) perform overall in AI benchmarks?
Grok 4 Fast (Reasoning) has 1 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Grok 4 Fast (Reasoning) good for coding and programming?
Grok 4 Fast (Reasoning) has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Does Grok 4 Fast (Reasoning) have full benchmark coverage on BenchLM?
Not yet. Grok 4 Fast (Reasoning) currently has 1 published benchmark scores out of the 178 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Grok 4 Fast (Reasoning)?
Grok 4 Fast (Reasoning) has a context window of 2M, which determines how much text it can process in a single interaction.
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