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Model comparison

Grok 4.1 Fast (Reasoning) vs Pharia-1-LLM-7B-control-aligned

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.
No comparison
0 category wins0 category wins

Public leaderboard positions: Grok 4.1 Fast (Reasoning) #48 (Supported); Pharia-1-LLM-7B-control-aligned unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Grok 4.1 Fast (Reasoning) and Pharia-1-LLM-7B-control-aligned share 0 comparable benchmark results. 0 of 8 categories are comparable. 13 results are unique to Grok 4.1 Fast (Reasoning); 0 to Pharia-1-LLM-7B-control-aligned.

Updated July 23, 2026
Shared results
0
Grok 4.1 Fast (Reasoning) only
13
Pharia-1-LLM-7B-control-aligned only
0
Comparable categories
0 / 8

Benchmark data for Grok 4.1 Fast (Reasoning) and Pharia-1-LLM-7B-control-aligned 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 Pharia-1-LLM-7B-control-aligned yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Grok 4.1 Fast (Reasoning) has the larger context window at 2M, compared with 8K for Pharia-1-LLM-7B-control-aligned.

Operational comparison

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

MetricGrok 4.1 Fast (Reasoning)Pharia-1-LLM-7B-control-alignedComparison
Input / output priceUSD per 1M tokensGrok 4.1 Fast (Reasoning)Not availablePharia-1-LLM-7B-control-alignedNot availableA complete price comparison is not available.
Generation speedtokens per secondGrok 4.1 Fast (Reasoning)Not availablePharia-1-LLM-7B-control-alignedNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGrok 4.1 Fast (Reasoning)Not availablePharia-1-LLM-7B-control-alignedNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGrok 4.1 Fast (Reasoning)2MPharia-1-LLM-7B-control-aligned8KGrok 4.1 Fast (Reasoning) lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGrok 4.1 Fast (Reasoning)Pharia-1-LLM-7B-control-alignedResult
τ²-bench resultsSource 93.3%Not comparable
Coding
BenchmarkGrok 4.1 Fast (Reasoning)Pharia-1-LLM-7B-control-alignedResult
Vibe Code BenchSource 1.20%Not comparable
AA-SciCodeSource 44.2%Not comparable
Reasoning
BenchmarkGrok 4.1 Fast (Reasoning)Pharia-1-LLM-7B-control-alignedResult
AA-LCRSource 68.0%Not comparable
CritPtSource 2.9%Not comparable
Knowledge
BenchmarkGrok 4.1 Fast (Reasoning)Pharia-1-LLM-7B-control-alignedResult
Artificial Analysis Intelligence IndexSource 30.6%Not comparable
AA-GPQA DiamondSource 85.3%Not comparable
AA-HLESource 17.6%Not comparable
AA-Omniscience IndexSource -28.7%Not comparable
AA-Omniscience AccuracySource 25.3%Not comparable
AA-Omniscience Hallucination RateSource 72.4%Not comparable
Multimodal
BenchmarkGrok 4.1 Fast (Reasoning)Pharia-1-LLM-7B-control-alignedResult
AA-MMMU-ProSource 63.3%Not comparable
Inst. Following
BenchmarkGrok 4.1 Fast (Reasoning)Pharia-1-LLM-7B-control-alignedResult
AA-IFBenchSource 52.7%Not comparable
Frequently Asked Questions (2)

Can I compare Grok 4.1 Fast (Reasoning) and Pharia-1-LLM-7B-control-aligned 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.

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Last updated: July 23, 2026

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