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Model comparison

DBRX Instruct vs GPT-5.2

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.
Databricks
N/A
No comparison
OpenAI
58.43/100
0 category wins0 category wins

Public leaderboard positions: DBRX Instruct unranked (Not scored); GPT-5.2 #64 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DBRX Instruct and GPT-5.2 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DBRX Instruct; 28 to GPT-5.2.

Updated July 22, 2026
Shared results
0
DBRX Instruct only
0
GPT-5.2 only
28
Comparable categories
0 / 8

Benchmark data for DBRX Instruct and GPT-5.2 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 DBRX Instruct yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

GPT-5.2 is priced at $1.75 input / $14.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DBRX Instruct. GPT-5.2 has the larger context window at 400K, compared with 32K for DBRX Instruct.

Operational comparison

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

MetricDBRX InstructGPT-5.2Comparison
Input / output priceUSD per 1M tokensDBRX Instruct$0 input / $0 outputGPT-5.2$1.75 input / $14 outputDBRX Instruct has the lower combined listed price.
Generation speedtokens per secondDBRX InstructNot availableGPT-5.273 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDBRX InstructNot availableGPT-5.2130.34 sA complete latency comparison is not available.
Context windowmaximum listed tokensDBRX Instruct32KGPT-5.2400KGPT-5.2 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDBRX InstructGPT-5.2Result
BrowseCompSource 65.8%Not comparable
OSWorld-VerifiedSource 47.3%Not comparable
τ²-bench resultsSource 84.8%Not comparable
Gert LabsSource 46.54%Not comparable
JobBenchSource 34.3%Not comparable
Coding
BenchmarkDBRX InstructGPT-5.2Result
SWE-bench VerifiedSource 80%Not comparable
SWE-bench ProSource 55.6%Not comparable
Vibe Code BenchSource 53.50%Not comparable
AA-SciCodeSource 52.1%Not comparable
Reasoning
BenchmarkDBRX InstructGPT-5.2Result
ARC-AGI-2Source 52.9%Not comparable
AA-LCRSource 72.7%Not comparable
CritPtSource 11.6%Not comparable
Knowledge
BenchmarkDBRX InstructGPT-5.2Result
GPQASource 92.4%Not comparable
Artificial Analysis Intelligence IndexSource 42.2%Not comparable
AA-GPQA DiamondSource 90.3%Not comparable
AA-HLESource 35.4%Not comparable
AA-Omniscience IndexSource -1.0%Not comparable
AA-Omniscience AccuracySource 43.8%Not comparable
AA-Omniscience Hallucination RateSource 79.7%Not comparable
Math
BenchmarkDBRX InstructGPT-5.2Result
AA AIME 2025Source 99.0%Not comparable
FrontierMath v2 (Tiers 1-3)Source 40.700%Not comparable
FrontierMath v2 (Tier 4)Source 18.800%Not comparable
Multimodal
BenchmarkDBRX InstructGPT-5.2Result
MMMU-ProSource 79.5%Not comparable
MathVisionSource 83.0%Not comparable
CharXivSource 82.1%Not comparable
V*Source 75.9%Not comparable
Design Arena WebsiteSource 1224Not comparable
Inst. Following
BenchmarkDBRX InstructGPT-5.2Result
AA-IFBenchSource 75.4%Not comparable
Frequently Asked Questions (3)

Can I compare DBRX Instruct and GPT-5.2 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 DBRX Instruct and GPT-5.2 today?

DBRX Instruct: $0.00 input / $0.00 output per 1M tokens GPT-5.2: $1.75 input / $14.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 22, 2026

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