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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 1.5 Pro vs OpenAI o1-mini

Pairwise benchmark snapshot · Aug 1, 2026

Gemini 1.5 Pro vs OpenAI o1-mini benchmark

In this head-to-head showdown, OpenAI o1-mini delivers higher overall intelligence and human-preferred responses (Elo 1,445 vs 1,260), while OpenAI o1-mini leads in SWE-bench software engineering benchmarks (56.4%), while OpenAI o1-mini is more budget-friendly at $4.4/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: OpenAI o1-mini holds the advantage over Gemini 1.5 Pro in overall benchmark performance and human evaluation rankings. Choose OpenAI o1-mini for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
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Verified Head-to-Head Advantage Breakdown

9 direct benchmark disciplines evaluated across capability, speed, and cost

Gemini 1.5 Pro (2)OpenAI o1-mini (7)
Gemini 1.5 Pro
2 of 9 Wins
✓Time to first token✓Context window
OpenAI o1-mini
7 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Output speed✓Input price✓Output price
Google
Leads 2 of 9 metrics
Gemini 1.5 Pro

First million-token Gemini Pro. Baseline for 1.5 vs 2.5 vs 3.x Pro.

Elo 1,260$5/1M out
OpenAI
Leads 7 of 9 metrics
OpenAI o1-mini

OpenAI high-speed, cost-effective reasoning model optimized for STEM, math, and code generation.

Elo 1,445$4.4/1M out
Top Rival Showdowns for Gemini 1.5 Pro
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderOpenAI o1-mini Wins

OpenAI o1-mini

Δ 185 Arena Elo pts

Throughput LeaderOpenAI o1-mini Wins

OpenAI o1-mini

85 tok/s

Value per Dollar LeaderOpenAI o1-mini Wins

OpenAI o1-mini

$4.4 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Gemini 1.5 Pro (2)vsOpenAI o1-mini (8)
Gemini 1.5 Pro: 2W (20%)Overall: OpenAI o1-miniOpenAI o1-mini: 8W (80%)
← Gemini 1.5 ProOpenAI o1-mini →
🏆OpenAI o1-mini(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
Gemini 1.5 ProvsOpenAI o1-mini
Preference Elo
1,260vs1,445+185
Coding Elo
—vs1,468
SWE-bench
38%vs56.4%+18.4%
LiveBench
49.2%vs62%+12.8%
GPQA Diamond
58%vs76.8%+18.8%
Gemini 1.5 Pro: 0WOpenAI o1-mini: 5W
Tied (1-1)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 1.5 ProvsOpenAI o1-mini
Output speed
70 tok/svs85 tok/s+15 tok/s
Time to first token
240 msvs280 ms+40 ms
Gemini 1.5 Pro: 1WOpenAI o1-mini: 1W
🏆OpenAI o1-mini(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 1.5 ProvsOpenAI o1-mini
Output price
$5/1Mvs$4.4/1M+$0.6/1M
Input price
$1.25/1Mvs$1.1/1M+$0.15/1M
Context window
2Mvs128k+1.9M
Gemini 1.5 Pro: 1WOpenAI o1-mini: 2W

Side-by-Side Benchmark Matrix

Preference Elo+185
Gemini 1.5 Pro1,260
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini1,445
seed-bootstrap · Aug 1, 2026
Coding Elo
Gemini 1.5 Pro—
OpenAI o1-mini1,468
seed-bootstrap · Aug 1, 2026
LiveBench+12.8%
Gemini 1.5 Pro49.2%
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini62%
seed-bootstrap · Aug 1, 2026
SWE-bench+18.4%
Gemini 1.5 Pro38%
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini56.4%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+18.8%
Gemini 1.5 Pro58%
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini76.8%
seed-bootstrap · Aug 1, 2026
Time to first token+40 ms
Gemini 1.5 Pro240 ms
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini280 ms
seed-bootstrap · Aug 1, 2026
Output speed+15 tok/s
Gemini 1.5 Pro70 tok/s
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini85 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.15/1M
Gemini 1.5 Pro$1.25/1M
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini$1.1/1M
seed-bootstrap · Aug 1, 2026
Output price+$0.6/1M
Gemini 1.5 Pro$5/1M
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini$4.4/1M
seed-bootstrap · Aug 1, 2026
Context window+1.9M
Gemini 1.5 Pro2M
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini128k
seed-bootstrap · Aug 1, 2026
BenchmarkGemini 1.5 ProOpenAI o1-miniAdvantage Delta
Preference Elo
1,260
seed-bootstrap · Aug 1, 2026
1,445
seed-bootstrap · Aug 1, 2026
+185
Coding Elo—
1,468
seed-bootstrap · Aug 1, 2026
—
LiveBench
49.2%
seed-bootstrap · Aug 1, 2026
62%
seed-bootstrap · Aug 1, 2026
+12.8%
SWE-bench
38%
seed-bootstrap · Aug 1, 2026
56.4%
seed-bootstrap · Aug 1, 2026
+18.4%
GPQA Diamond
58%
seed-bootstrap · Aug 1, 2026
76.8%
seed-bootstrap · Aug 1, 2026
+18.8%
Time to first token
240 ms
seed-bootstrap · Aug 1, 2026
280 ms
seed-bootstrap · Aug 1, 2026
+40 ms
Output speed
70 tok/s
seed-bootstrap · Aug 1, 2026
85 tok/s
seed-bootstrap · Aug 1, 2026
+15 tok/s
Input price
$1.25/1M
seed-bootstrap · Aug 1, 2026
$1.1/1M
seed-bootstrap · Aug 1, 2026
+$0.15/1M
Output price
$5/1M
seed-bootstrap · Aug 1, 2026
$4.4/1M
seed-bootstrap · Aug 1, 2026
+$0.6/1M
Context window
2M
seed-bootstrap · Aug 1, 2026
128k
seed-bootstrap · Aug 1, 2026
+1.9M
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 12% with OpenAI o1-mini
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Gemini 1.5 Pro$118.75 / mo
In: $43.75Out: $75
OpenAI o1-mini$104.50 / mo
In: $38.5Out: $66
Estimated Cost Delta

OpenAI o1-mini is estimated to save $14.25/month ($171/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    OpenAI o1-mini:Pick OpenAI o1-mini when repo-level coding accuracy is the constraint.
  • 2
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro when time-to-first-token matters more than peak Elo.
  • 3
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsOpenAI o1-mini

Higher SWE-bench (56.4%).

High-volume chatOpenAI o1-mini

Lower output list price ($4.4/1M).

Voice / low-latency UIGemini 1.5 Pro

Lower TTFT (240 ms).

Long-document RAGGemini 1.5 Pro

Larger window (2M).

Screenshots / visionGemini 1.5 Pro

Gemini 1.5 Pro is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsOpenAI o1-miniHigher SWE-bench (56.4%).
High-volume chatOpenAI o1-miniLower output list price ($4.4/1M).
Voice / low-latency UIGemini 1.5 ProLower TTFT (240 ms).
Long-document RAGGemini 1.5 ProLarger window (2M).
Screenshots / visionGemini 1.5 ProGemini 1.5 Pro is the side marked multimodal in the catalog.
Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Google

Gemini 1.5 Pro

Elo 1,260
SWE-bench38%
Speed (tok/s)70 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$5/1M
OpenAI

OpenAI o1-mini

Elo 1,445
SWE-bench56.4%
Speed (tok/s)85 tok/s
Input / 1M Tokens$1.1/1M
Output / 1M Tokens$4.4/1M

Frequently Asked Questions

Which is better overall, Gemini 1.5 Pro or OpenAI o1-mini?
OpenAI o1-mini has the higher preference Elo in our latest snapshot (1,445). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 1.5 Pro or OpenAI o1-mini?
OpenAI o1-mini leads SWE-bench at 56.4% vs 38%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
OpenAI o1-mini output tokens are $4.4/1M versus $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 1.5 Pro or OpenAI o1-mini?
Gemini 1.5 Pro has the lower time-to-first-token (240 ms vs 280 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 1.5 Pro accepts 2M tokens versus 128k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Gemini 1.5 Pro and OpenAI o1-mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Gemini 1.5 Pro matchups →|All OpenAI o1-mini matchups →
Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)OpenAI o1-mini vs GPT-4o mini (previous gpt-mini)OpenAI o1-mini vs OpenAI o3-mini (next gpt-mini)GPT-5 vs OpenAI o1-miniGemini 3 Pro vs OpenAI o1-miniGemini 3 Flash vs OpenAI o1-mini