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  3. Gemini 1.5 Pro vs GPT-5 mini

Pairwise benchmark snapshot · Aug 17, 2026

Gemini 1.5 Pro vs GPT-5 mini benchmark

In this head-to-head showdown, GPT-5 mini delivers higher overall intelligence and human-preferred responses (Elo 1,410 vs 1,260), while GPT-5 mini leads in SWE-bench software engineering benchmarks (52.4%), while GPT-5 mini is more budget-friendly at $2/1M 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: GPT-5 mini holds the advantage over Gemini 1.5 Pro in overall benchmark performance and human evaluation rankings. Choose GPT-5 mini for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
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Executive Verdict Summary

GPT-5 mini holds empirical advantage (8 of 9 metrics)

Coding / SWESWE-bench
GPT-5 miniTop code solve rate
ReasoningGPQA / Live
GPT-5 miniTop logical accuracy
Best Value$/1M Tok
GPT-5 miniLowest API billing cost
Speed / TokTok/Sec
GPT-5 miniFastest stream rate

Verified Advantage Breakdown

9 benchmarks evaluated across capability, speed, and cost

Gemini 1.5 Pro (1)GPT-5 mini (8)
Gemini 1.5 Pro
1 of 9 Wins
✓Context window
GPT-5 mini
8 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Input price✓Output price
Google
Leads 1 of 9
Gemini 1.5 Pro

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

Elo 1,260In: $1.25 · Out: $5/1M
OpenAI
Leads 8 of 9
GPT-5 mini

Cost-efficient GPT-5 distill for high-volume agents.

Mini DistillElo 1,410In: $0.25 · Out: $2/1M
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 LeaderGPT-5 mini Wins

GPT-5 mini

Δ 150 Arena Elo pts

Throughput LeaderGPT-5 mini Wins

GPT-5 mini

155 tok/s

Value per Dollar LeaderGPT-5 mini Wins

GPT-5 mini

$2 / 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 standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

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

Gemini 1.5 Pro (1)vsGPT-5 mini (9)
Gemini 1.5 Pro: 1W (10%)Overall: GPT-5 miniGPT-5 mini: 9W (90%)
← Gemini 1.5 ProGPT-5 mini →
🏆GPT-5 mini Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Gemini 1.5 ProvsGPT-5 mini
Preference Elo
1,260vs1,410+150
Coding Elo
—vs1,395
SWE-bench
38%vs52.4%+14.4%
LiveBench
49.2%vs61.2%+12%
GPQA Diamond
58%vs72%+14%
Gemini 1.5 Pro: 0WGPT-5 mini: 5W
🏆GPT-5 mini Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 1.5 ProvsGPT-5 mini
Output speed
70 tok/svs155 tok/s+85 tok/s
Time to first token
240 msvs140 ms+100 ms
Gemini 1.5 Pro: 0WGPT-5 mini: 2W
🏆GPT-5 mini Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 1.5 ProvsGPT-5 mini
Output price
$5/1Mvs$2/1M+$3/1M
Input price
$1.25/1Mvs$0.25/1M+$1/1M
Context window
2Mvs400k+1.6M
Gemini 1.5 Pro: 1WGPT-5 mini: 2W

Side-by-Side Benchmark Matrix

Gemini 1.5 ProGPT-5 mini
Preference EloGPT-5 mini +150
Gemini 1.5 Pro1,260
GPT-5 mini1,410
Coding Elo
Gemini 1.5 Pro—
GPT-5 mini1,395
LiveBenchGPT-5 mini +12%
Gemini 1.5 Pro49.2%
GPT-5 mini61.2%
SWE-benchGPT-5 mini +14.4%
Gemini 1.5 Pro38%
GPT-5 mini52.4%
GPQA DiamondGPT-5 mini +14%
Gemini 1.5 Pro58%
GPT-5 mini72%
Time to first tokenGPT-5 mini +100 ms
Gemini 1.5 Pro240 ms
GPT-5 mini140 ms
Output speedGPT-5 mini +85 tok/s
Gemini 1.5 Pro70 tok/s
GPT-5 mini155 tok/s
Input priceGPT-5 mini +$1/1M
Gemini 1.5 Pro$1.25/1M
GPT-5 mini$0.25/1M
Output priceGPT-5 mini +$3/1M
Gemini 1.5 Pro$5/1M
GPT-5 mini$2/1M
Context windowGemini 1.5 Pro +1.6M
Gemini 1.5 Pro2M
GPT-5 mini400k
BenchmarkGemini 1.5 ProGPT-5 miniAdvantage Delta
Preference Elo
1,260
lmarena · Aug 17, 2026
1,410
lmarena · Aug 17, 2026
+150
Coding Elo—
1,395
lmarena · Aug 17, 2026
—
LiveBench
49.2%
livebench · Aug 17, 2026
61.2%
livebench · Aug 17, 2026
+12%
SWE-bench
38%
swebench · Aug 17, 2026
52.4%
swebench · Aug 17, 2026
+14.4%
GPQA Diamond
58%
seed-bootstrap · Aug 1, 2026
72%
seed-bootstrap · Aug 1, 2026
+14%
Time to first token
240 ms
seed-bootstrap · Aug 1, 2026
140 ms
seed-bootstrap · Aug 1, 2026
+100 ms
Output speed
70 tok/s
seed-bootstrap · Aug 1, 2026
155 tok/s
seed-bootstrap · Aug 1, 2026
+85 tok/s
Input price
$1.25/1M
seed-bootstrap · Aug 1, 2026
$0.25/1M
openrouter · Aug 17, 2026
+$1/1M
Output price
$5/1M
seed-bootstrap · Aug 1, 2026
$2/1M
openrouter · Aug 17, 2026
+$3/1M
Context window
2M
seed-bootstrap · Aug 1, 2026
400k
openrouter · Aug 17, 2026
+1.6M

Workload Cost & Savings Calculator

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

Save 67% with GPT-5 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
GPT-5 mini$38.75 / mo
In: $8.75Out: $30
Estimated Cost Delta

GPT-5 mini is estimated to save $80.00/month ($960/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    GPT-5 mini:Pick GPT-5 mini when repo-level coding accuracy is the constraint.
  • 2
    GPT-5 mini:Pick GPT-5 mini 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 agentsGPT-5 mini

Higher SWE-bench (52.4%).

High-volume chatGPT-5 mini

Lower output list price ($2/1M).

Voice / low-latency UIGPT-5 mini

Lower TTFT (140 ms).

Long-document RAGGemini 1.5 Pro

Larger window (2M).

Screenshots / visionGPT-5 mini

Both accept images. Defaulting to the higher-Elo side (GPT-5 mini).

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGPT-5 miniHigher SWE-bench (52.4%).
High-volume chatGPT-5 miniLower output list price ($2/1M).
Voice / low-latency UIGPT-5 miniLower TTFT (140 ms).
Long-document RAGGemini 1.5 ProLarger window (2M).
Screenshots / visionGPT-5 miniBoth accept images. Defaulting to the higher-Elo side (GPT-5 mini).

Related Editorial Dispatches & Benchmark Notes

View all news
launchAug 8, 2025

GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

High-volume agents that cannot pay Sol. Compare to Luna before you assume the new cheap SKU wins.

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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

GPT-5 mini

Elo 1,410
SWE-bench52.4%
Speed (tok/s)155 tok/s
Input / 1M Tokens$0.25/1M
Output / 1M Tokens$2/1M

Frequently Asked Questions

Which is better overall, Gemini 1.5 Pro or GPT-5 mini?
GPT-5 mini has the higher preference Elo in our latest snapshot (1,410). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 1.5 Pro or GPT-5 mini?
GPT-5 mini leads SWE-bench at 52.4% vs 38%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
GPT-5 mini output tokens are $2/1M versus $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 1.5 Pro or GPT-5 mini?
GPT-5 mini has the lower time-to-first-token (140 ms vs 240 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 400k.
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 GPT-5 mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Aug 8, 2025

    GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

Similar Head-to-Head Comparisons

All Gemini 1.5 Pro matchups →|All GPT-5 mini matchups →
Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)GPT-5 mini vs OpenAI: o3 Mini (previous gpt-mini)GPT-5 mini vs GPT-5.6 Luna (next gpt-mini)GPT-5 vs GPT-5 miniGemini 3 Pro vs GPT-5 miniGemini 3 Flash vs GPT-5 mini