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Model comparison

Grok Code Fast 1 vs Llama 4 Behemoth

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
38.64/100
No comparison
0 category wins0 category wins

Public leaderboard positions: Grok Code Fast 1 #180 (Supported); Llama 4 Behemoth #176 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Grok Code Fast 1 and Llama 4 Behemoth share 0 comparable benchmark results. 0 of 8 categories are comparable. 12 results are unique to Grok Code Fast 1; 0 to Llama 4 Behemoth.

Updated July 20, 2026
Shared results
0
Grok Code Fast 1 only
12
Llama 4 Behemoth only
0
Comparable categories
0 / 8

Benchmark data for Grok Code Fast 1 and Llama 4 Behemoth is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM does not have sourced benchmark coverage for Llama 4 Behemoth yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Grok Code Fast 1 is priced at $0.20 input / $1.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 4 Behemoth. Grok Code Fast 1 has the larger context window at 256K, compared with 32K for Llama 4 Behemoth.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGrok Code Fast 1Llama 4 BehemothComparison
Input / output priceUSD per 1M tokensGrok Code Fast 1$0.2 input / $1.5 outputLlama 4 Behemoth$0 input / $0 outputLlama 4 Behemoth has the lower combined listed price.
Generation speedtokens per secondGrok Code Fast 1172 tok/sLlama 4 BehemothNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGrok Code Fast 12.81 sLlama 4 BehemothNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGrok Code Fast 1256KLlama 4 Behemoth32KGrok Code Fast 1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGrok Code Fast 1Llama 4 BehemothResult
τ²-bench resultsSource 75.7%Not comparable
Coding
BenchmarkGrok Code Fast 1Llama 4 BehemothResult
SWE-bench VerifiedSource 70.8%Not comparable
AA-SciCodeSource 36.2%Not comparable
Reasoning
BenchmarkGrok Code Fast 1Llama 4 BehemothResult
AA-LCRSource 48.3%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGrok Code Fast 1Llama 4 BehemothResult
Artificial Analysis Intelligence IndexSource 21.6%Not comparable
AA-GPQA DiamondSource 72.7%Not comparable
AA-HLESource 7.5%Not comparable
AA-Omniscience IndexSource -36.0%Not comparable
AA-Omniscience AccuracySource 23.8%Not comparable
AA-Omniscience Hallucination RateSource 78.5%Not comparable
Inst. Following
BenchmarkGrok Code Fast 1Llama 4 BehemothResult
AA-IFBenchSource 41.4%Not comparable
Frequently Asked Questions (3)

Can I compare Grok Code Fast 1 and Llama 4 Behemoth on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Grok Code Fast 1 and Llama 4 Behemoth today?

Grok Code Fast 1: $0.20 input / $1.50 output per 1M tokens Llama 4 Behemoth: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 20, 2026

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