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Model comparison

Gemini 3 Flash vs GPT-5.2

Data verified

Head-to-head evidence from 17 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

60.49/100
Margin
2.1pts
← winning
OpenAI
58.43/100
0 category wins1 category wins

Public leaderboard positions: Gemini 3 Flash #49 (Supported); GPT-5.2 #64 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3 Flash and GPT-5.2 share 17 comparable benchmark results. 1 of 8 categories are comparable. 2 results are unique to Gemini 3 Flash; 11 to GPT-5.2.

Updated July 20, 2026
Shared results
17
Gemini 3 Flash only
2
GPT-5.2 only
11
Comparable categories
1 / 8

Pick Gemini 3 Flash if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if mathematics is the priority or you want the stronger reasoning-first profile.

Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 7 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Gemini 3 Flash has the cleaner BenchAlign overall profile here, landing at 60.49 versus 58.43. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $0.50 input / $3.00 output per 1M tokens for Gemini 3 Flash. That is roughly 4.7x on output cost alone. GPT-5.2 is the reasoning model in the pair, while Gemini 3 Flash is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 3 Flash gives you the larger context window at 1M, compared with 400K for GPT-5.2.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Gemini 3 Flash and GPT-5.2
CategoryGemini 3 FlashΔGPT-5.2
MathGemini 3 Flash27.8Margin 7.4GPT-5.235.2
AgenticGemini 3 FlashNot measuredMarginNo overlapGPT-5.255.7
CodingGemini 3 FlashNot measuredMarginNo overlapGPT-5.270.6
ReasoningGemini 3 FlashNot measuredMarginNo overlapGPT-5.252.9
KnowledgeGemini 3 FlashNot measuredMarginNo overlapGPT-5.292.4
MultimodalGemini 3 FlashNot measuredMarginNo overlapGPT-5.280.4

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Gemini 3 FlashB · GPT-5.2
  1. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 4.167%B 18.800%
    Winner: GPT-5.2Δ 14.6
    FrontierMath v2 (Tier 4): Gemini 3 Flash scored 4.167%; GPT-5.2 scored 18.800%. GPT-5.2 wins this benchmark.
  2. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 35.640%B 40.700%
    Winner: GPT-5.2Δ 5.1
    FrontierMath v2 (Tiers 1-3): Gemini 3 Flash scored 35.640%; GPT-5.2 scored 40.700%. GPT-5.2 wins this benchmark.

Operational comparison

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

MetricGemini 3 FlashGPT-5.2Comparison
Input / output priceUSD per 1M tokensGemini 3 Flash$0.5 input / $3 outputGPT-5.2$1.75 input / $14 outputGemini 3 Flash has the lower combined listed price.
Generation speedtokens per secondGemini 3 Flash159 tok/sGPT-5.273 tok/sGemini 3 Flash has the higher measured throughput.
First-answer latencyseconds to first tokenGemini 3 Flash1.19 sGPT-5.2130.34 sGemini 3 Flash reaches the first token sooner.
Context windowmaximum listed tokensGemini 3 Flash1MGPT-5.2400KGemini 3 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 3 FlashGPT-5.2Result
Claw-EvalSource 49.2%Not comparable
τ²-bench resultsSource 43.3%84.8%GPT-5.2 leads
Gert LabsSource 56.63%46.54%Gemini 3 Flash leads
JobBenchSource 11.4%34.3%GPT-5.2 leads
BrowseCompSource 65.8%Not comparable
OSWorld-VerifiedSource 47.3%Not comparable
Coding
BenchmarkGemini 3 FlashGPT-5.2Result
Vibe Code BenchSource 20.20%53.50%GPT-5.2 leads
AA-SciCodeSource 49.9%52.1%GPT-5.2 leads
SWE-bench VerifiedSource 80%Not comparable
SWE-bench ProSource 55.6%Not comparable
Reasoning
BenchmarkGemini 3 FlashGPT-5.2Result
AA-LCRSource 48.0%72.7%GPT-5.2 leads
CritPtSource 1.4%11.6%GPT-5.2 leads
ARC-AGI-2Source 52.9%Not comparable
Knowledge
BenchmarkGemini 3 FlashGPT-5.2Result
Artificial Analysis Intelligence IndexSource 27.4%42.2%GPT-5.2 leads
AA-GPQA DiamondSource 81.2%90.3%GPT-5.2 leads
AA-HLESource 14.1%35.4%GPT-5.2 leads
AA-Omniscience IndexSource -3.6%-1.0%GPT-5.2 leads
AA-Omniscience AccuracySource 45.5%43.8%Gemini 3 Flash leads
AA-Omniscience Hallucination RateSource 90.2%79.7%GPT-5.2 leads
GPQASource 92.4%Not comparable
MathGPT-5.2 wins
BenchmarkGemini 3 FlashGPT-5.2Result
FrontierMath v2 (Tiers 1-3)Source 35.640%40.700%GPT-5.2 leads
FrontierMath v2 (Tier 4)Source 4.167%18.800%GPT-5.2 leads
AA AIME 2025Source 99.0%Not comparable
Multimodal
BenchmarkGemini 3 FlashGPT-5.2Result
AA-MMMU-ProSource 78.6%Not comparable
Design Arena WebsiteSource 12281227Gemini 3 Flash leads
MMMU-ProSource 79.5%Not comparable
MathVisionSource 83.0%Not comparable
CharXivSource 82.1%Not comparable
V*Source 75.9%Not comparable
Inst. Following
BenchmarkGemini 3 FlashGPT-5.2Result
AA-IFBenchSource 55.1%75.4%GPT-5.2 leads
Frequently Asked Questions (2)

Which is better, Gemini 3 Flash or GPT-5.2?

Gemini 3 Flash is ahead on BenchLM's BenchAlign leaderboard, 60.49 to 58.43. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 4.167% and 18.800%.

Which is better for math, Gemini 3 Flash or GPT-5.2?

GPT-5.2 has the edge for math in this comparison, averaging 35.2 versus 27.8. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.

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Last updated: July 20, 2026

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