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Model comparison

GPT-5.1-Codex 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.
52.72/100
No comparison
0 category wins0 category wins

Public leaderboard positions: GPT-5.1-Codex #99 (Estimated); 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. GPT-5.1-Codex and Pharia-1-LLM-7B-control-aligned share 0 comparable benchmark results. 0 of 8 categories are comparable. 16 results are unique to GPT-5.1-Codex; 0 to Pharia-1-LLM-7B-control-aligned.

Updated July 23, 2026
Shared results
0
GPT-5.1-Codex only
16
Pharia-1-LLM-7B-control-aligned only
0
Comparable categories
0 / 8

Benchmark data for GPT-5.1-Codex 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.

GPT-5.1-Codex has the larger context window at 400K, 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.

MetricGPT-5.1-CodexPharia-1-LLM-7B-control-alignedComparison
Input / output priceUSD per 1M tokensGPT-5.1-CodexNot availablePharia-1-LLM-7B-control-alignedNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-5.1-CodexNot availablePharia-1-LLM-7B-control-alignedNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.1-CodexNot availablePharia-1-LLM-7B-control-alignedNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.1-Codex400KPharia-1-LLM-7B-control-aligned8KGPT-5.1-Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.1-CodexPharia-1-LLM-7B-control-alignedResult
τ²-bench resultsSource 83%Not comparable
Gert LabsSource 49.68%Not comparable
JobBenchSource 26.2%Not comparable
Coding
BenchmarkGPT-5.1-CodexPharia-1-LLM-7B-control-alignedResult
Vibe Code BenchSource 13.12%Not comparable
AA-SciCodeSource 40.2%Not comparable
Reasoning
BenchmarkGPT-5.1-CodexPharia-1-LLM-7B-control-alignedResult
AA-LCRSource 67.3%Not comparable
CritPtSource 5.7%Not comparable
Knowledge
BenchmarkGPT-5.1-CodexPharia-1-LLM-7B-control-alignedResult
Artificial Analysis Intelligence IndexSource 34.7%Not comparable
AA-GPQA DiamondSource 86.0%Not comparable
AA-HLESource 23.4%Not comparable
AA-Omniscience IndexSource -6.0%Not comparable
AA-Omniscience AccuracySource 39.2%Not comparable
AA-Omniscience Hallucination RateSource 74.4%Not comparable
Multimodal
BenchmarkGPT-5.1-CodexPharia-1-LLM-7B-control-alignedResult
AA-MMMU-ProSource 72.5%Not comparable
Design Arena WebsiteSource 1191Not comparable
Inst. Following
BenchmarkGPT-5.1-CodexPharia-1-LLM-7B-control-alignedResult
AA-IFBenchSource 70.0%Not comparable
Frequently Asked Questions (2)

Can I compare GPT-5.1-Codex 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.

Related Comparisons

Last updated: July 23, 2026

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