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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. Gemini 2.5 Pro remains the previous Google long-context flagship
Gemini 2.5 Pro remains the previous Google long-context flagship
launchVerified Dispatch
CompareLLM Intelligence Desk·Mar 25, 2025

Gemini 2.5 Pro remains the previous Google long-context flagship

2025-03 row. 3.x Pro replaced it. Kept for old “2.5 pro vs gpt-4o” inbound.

Search intent: gemini 2.5 pro benchmark

Evaluated Models (3):
Gemini 2.5 ProGoogle
GPT-4oOpenAI
Gemini 3.6 ProGoogle
Share Analysis:
WhatsAppTelegramXLinkedInReddit
Verified Benchmark Scorecard3 Models Evaluated

Gemini 2.5 Pro & Frontier Peer Benchmark Comparison

Live benchmark scores, throughput speeds, and token pricing with dynamic peer comparison.

LMSYS Arena Elo1,350Gemini 2.5 Pro
SWE-bench Verified63.8%Coding resolve %
Throughput Speed95 tok/sGeneration rate
Output Price / 1M$5.00List rate
Interactive Model Comparison:3 models selected
Gemini 2.5 ProArticleGPT-4oArticleGemini 3.6 ProArticle
LMSYS Arena EloOverall human preference
quality
Gemini 2.5 Pro
1,350
GPT-4o
1,335
Gemini 3.6 ProBest
1,570
Coding EloProgramming preference
quality
Gemini 2.5 Pro
—
GPT-4o
—
Gemini 3.6 ProBest
1,566
SWE-bench VerifiedGitHub issue resolve %
quality
Gemini 2.5 Pro
63.8%
GPT-4o
54.8%
Gemini 3.6 ProBest
74.6%
GPQA DiamondPhD-level science reasoning %
quality
Gemini 2.5 Pro
76.4%
GPT-4o
73.2%
Gemini 3.6 ProBest
84.4%
LiveBenchContamination-free reasoning
quality
Gemini 2.5 Pro
57.1%
GPT-4o
54.2%
Gemini 3.6 ProBest
71.8%
Throughput (Speed)Output tokens / second
speed
Gemini 2.5 Pro
95 tok/s
GPT-4oBest
110 tok/s
Gemini 3.6 Pro
102 tok/s
Time-to-First-TokenInitial latency (ms)
speed
Gemini 2.5 Pro
210 ms
GPT-4oBest
180 ms
Gemini 3.6 Pro
205 ms
Output Token Price$ per 1M reply tokens
price
Gemini 2.5 ProBest
$5/1M
GPT-4o
$10/1M
Gemini 3.6 Pro
$5/1M
Input Token Price$ per 1M prompt tokens
price
Gemini 2.5 ProBest
$1.25/1M
GPT-4o
$2.5/1M
Gemini 3.6 Pro
$1.25/1M
Context WindowMax token capacity
capacity
Gemini 2.5 ProBest
2M
GPT-4o
128k
Gemini 3.6 Pro
2M
Benchmark / Metric
Gemini 2.5 ProGoogle · Article Model
GPT-4oOpenAI · Article Model
Gemini 3.6 ProGoogle · Article Model
LMSYS Arena EloOverall human preference
1,350
1,335
1,570Top
Coding EloProgramming preference
—
—
1,566Top
SWE-bench VerifiedGitHub issue resolve %
63.8%
54.8%
74.6%Top
GPQA DiamondPhD-level science reasoning %
76.4%
73.2%
84.4%Top
LiveBenchContamination-free reasoning
57.1%
54.2%
71.8%Top
Throughput (Speed)Output tokens / second
95 tok/s
110 tok/sTop
102 tok/s
Time-to-First-TokenInitial latency (ms)
210 ms
180 msTop
205 ms
Output Token Price$ per 1M reply tokens
$5/1MTop
$10/1M
$5/1M
Input Token Price$ per 1M prompt tokens
$1.25/1MTop
$2.5/1M
$1.25/1M
Context WindowMax token capacity
2MTop
128k
2M
Executive Key Takeaway
2025-03 row. 3.x Pro replaced it. Kept for old “2.5 pro vs gpt-4o” inbound.

Gemini 2.5 Pro is the previous Google long-context flagship. Gemini 3.6 Pro is the current Pro-class buy. We keep 2.5 Pro because a year of blog posts still link “2.5 pro vs 4o.” The page is labeled as a previous flagship. If you are choosing this month, start on 3.6 Pro or 3.7 Flash.

Historical rows still need sources

Old Elo without a date is fiction. The cell keeps observed-at even when the model is no longer for sale.

Empirical Evaluation & Architectural Analysis

Empirical evaluations recorded across the CompareLLM Leaderboard highlight how parameter scaling and inference optimization impact production throughput and cost-per-token economics. Reference the interactive scorecard above for verified snapshots or inspect the dedicated gemini-2-5-pro dossier.

2.5 Flash is the cheap twin

Same generation, speed SKU. Don’t mix 2.5 Flash into 3.7 Flash aliases.

Strategic Deployment Recommendation

  • Production Workloads: For enterprise workloads requiring strict reliability, cross-reference Top Coding LLMs and Cheapest High-Quality LLMs.
  • Direct Pair Comparison: Check model specifications at gemini-2-5-pro specs.
  • Architectural Stacks: Recommended architectural configurations can be evaluated on the CompareLLM Stack Engine.

Frequently Asked Questions

Is this an CompareLLM lab test score? No. Linked model dossiers and compare showdowns reflect dated snapshots gathered from named public evaluation benchmarks. Seed catalog entries remain transparently timestamped until daily ingest updates them.

Where can I see live comparisons for this model? Explore verified model specs at gemini-2-5-pro.

What primary search query does this briefing answer? gemini 2.5 pro benchmark.

Share Analysis:
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Head-to-Head Showdowns for Mentioned Models

Featured Article ShowdownGemini 2.5 Pro vs GPT-4o
Compare Benchmarks
Benchmark MatchupGemini 2.5 Pro vs Claude Opus 4.5
Benchmark MatchupGemini 2.5 Pro vs Claude Opus 4.6
Benchmark MatchupGPT-4o vs Claude Opus 4.5
Benchmark MatchupGPT-4o vs Claude Opus 4.6
Benchmark MatchupGemini 3.6 Pro vs Claude Opus 4.5
Benchmark MatchupGemini 3.6 Pro vs Claude Opus 4.6

Related news

  • compare · Aug 13, 2026

    Gemini Flash vs Pro: when Flash is the whole product

  • compare · Jul 24, 2026

    Claude vs Gemini: coding, Elo, and output price — not a brand mashup

  • compare · Jul 16, 2026

    Gemini vs GPT: long context versus the OpenAI flagship invoice

  • launch · Jul 15, 2026

    Gemini 3.6 Pro: Google’s current Pro-class long-context row

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