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

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  3. Google Gemini Pro Latest vs OpenAI: o3 Mini

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Google Gemini Pro Latest vs OpenAI: o3 Mini benchmark

In this head-to-head showdown, OpenAI: o3 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: Choose Google Gemini Pro Latest if your priority is peak reasoning, complex code generation, and top preference Elo. Choose OpenAI: o3 Mini if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

OpenAI: o3 Mini holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
OpenAI: o3 MiniTop code solve rate
ReasoningGPQA / Live
OpenAI: o3 MiniTop logical accuracy
Best Value$/1M Tok
OpenAI: o3 MiniLowest API billing cost
Speed / TokTok/Sec
OpenAI: o3 MiniFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Google Gemini Pro Latest (1)OpenAI: o3 Mini (2)
Google Gemini Pro Latest
1 of 3 Wins
✓Context window
OpenAI: o3 Mini
2 of 3 Wins
✓Input price✓Output price
~google
Leads 1 of 3
Google Gemini Pro Latest

Auto-discovered from OpenRouter (~google/gemini-pro-latest). Preview until a second source matches.

In: $2 · Out: $12/1M
OpenAI
Leads 2 of 3
OpenAI: o3 Mini

Auto-discovered from OpenRouter (openai/o3-mini). Preview until a second source matches.

o3-miniElo 1,560In: $1.1 · Out: $4.4/1M

OpenAI: o3 Mini Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Delay
290 ms
Standard
CoT Tokens
~1,500
Internal reasoning
Cost / 1k
$8.47
4.5× base bill
Accuracy Boost
+4.5%
STEM & Logic
Top Rival Showdowns for Google Gemini Pro Latest
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderOpenAI: o3 Mini Wins

OpenAI: o3 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 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.

Google Gemini Pro Latest (1)vsOpenAI: o3 Mini (9)
Google Gemini Pro Latest: 1W (10%)Overall: OpenAI: o3 MiniOpenAI: o3 Mini: 9W (90%)
← Google Gemini Pro LatestOpenAI: o3 Mini →
🏆OpenAI: o3 Mini Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Google Gemini Pro LatestvsOpenAI: o3 Mini
Preference Elo
—vs1,560
Coding Elo
—vs1,585
SWE-bench
—vs78.5%
LiveBench
—vs72.4%
GPQA Diamond
—vs87.2%
Google Gemini Pro Latest: 0WOpenAI: o3 Mini: 5W
🏆OpenAI: o3 Mini Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Google Gemini Pro LatestvsOpenAI: o3 Mini
Output speed
—vs92 tok/s
Time to first token
—vs290 ms
Google Gemini Pro Latest: 0WOpenAI: o3 Mini: 2W
🏆OpenAI: o3 Mini Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Google Gemini Pro LatestvsOpenAI: o3 Mini
Output price
$12/1Mvs$4.4/1M+$7.6/1M
Input price
$2/1Mvs$1.1/1M+$0.9/1M
Context window
1Mvs200k+849k
Google Gemini Pro Latest: 1WOpenAI: o3 Mini: 2W

Side-by-Side Benchmark Matrix

Google Gemini Pro LatestOpenAI: o3 Mini
Preference Elo
Google Gemini Pro Latest—
OpenAI: o3 Mini1,560
Coding Elo
Google Gemini Pro Latest—
OpenAI: o3 Mini1,585
LiveBench
Google Gemini Pro Latest—
OpenAI: o3 Mini72.4%
SWE-bench
Google Gemini Pro Latest—
OpenAI: o3 Mini78.5%
GPQA Diamond
Google Gemini Pro Latest—
OpenAI: o3 Mini87.2%
Time to first token
Google Gemini Pro Latest—
OpenAI: o3 Mini290 ms
Output speed
Google Gemini Pro Latest—
OpenAI: o3 Mini92 tok/s
Input priceOpenAI: o3 Mini +$0.9/1M
Google Gemini Pro Latest$2/1M
OpenAI: o3 Mini$1.1/1M
Output priceOpenAI: o3 Mini +$7.6/1M
Google Gemini Pro Latest$12/1M
OpenAI: o3 Mini$4.4/1M
Context windowGoogle Gemini Pro Latest +849k
Google Gemini Pro Latest1M
OpenAI: o3 Mini200k
BenchmarkGoogle Gemini Pro LatestOpenAI: o3 MiniAdvantage Delta
Preference Elo—
1,560
lmarena · Aug 17, 2026
—
Coding Elo—
1,585
lmarena · Aug 17, 2026
—
LiveBench—
72.4%
livebench · Aug 17, 2026
—
SWE-bench—
78.5%
swebench · Aug 17, 2026
—
GPQA Diamond—
87.2%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
290 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
92 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$2/1M
openrouter · Aug 17, 2026
$1.1/1M
openrouter · Aug 17, 2026
+$0.9/1M
Output price
$12/1M
openrouter · Aug 17, 2026
$4.4/1M
openrouter · Aug 17, 2026
+$7.6/1M
Context window
1M
openrouter · Aug 17, 2026
200k
openrouter · Aug 17, 2026
+849k

Workload Cost & Savings Calculator

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

Save 58% with OpenAI: o3 Mini
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Google Gemini Pro Latest$250.00 / mo
In: $70Out: $180
OpenAI: o3 Mini$104.50 / mo
In: $38.5Out: $66
Estimated Cost Delta

OpenAI: o3 Mini is estimated to save $145.50/month ($1,746/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    OpenAI: o3 Mini:Pick OpenAI: o3 Mini when you are optimizing output cost.
  • 2
    Google Gemini Pro Latest:Pick Google Gemini Pro Latest for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: o3 Mini

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle Gemini Pro Latest

Larger window (1M).

Screenshots / visionOpenAI: o3 Mini

OpenAI: o3 Mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatOpenAI: o3 MiniLower output list price ($4.4/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGoogle Gemini Pro LatestLarger window (1M).
Screenshots / visionOpenAI: o3 MiniOpenAI: o3 Mini is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
~google

Google Gemini Pro Latest

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$2/1M
Output / 1M Tokens$12/1M
OpenAI

OpenAI: o3 Mini

Elo 1,560
SWE-bench78.5%
Speed (tok/s)92 tok/s
Input / 1M Tokens$1.1/1M
Output / 1M Tokens$4.4/1M

Frequently Asked Questions

Which is better overall, Google Gemini Pro Latest or OpenAI: o3 Mini?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Google Gemini Pro Latest or OpenAI: o3 Mini?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
OpenAI: o3 Mini output tokens are $4.4/1M versus $12/1M. Input prices and retry rates still move the real bill.
Which is faster, Google Gemini Pro Latest or OpenAI: o3 Mini?
We do not have TTFT for both models.
Which has the larger context window?
Google Gemini Pro Latest accepts 1M tokens versus 200k.
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. Google Gemini Pro Latest and OpenAI: o3 Mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Google Gemini Pro Latest matchups →|All OpenAI: o3 Mini matchups →
OpenAI: o3 Mini vs OpenAI o1-mini (previous gpt-mini)OpenAI: o3 Mini vs GPT-5 mini (next gpt-mini)GPT-5 vs OpenAI: o3 MiniGPT-4.5 Orion vs OpenAI: o3 MiniGPT-5.6 Sol vs OpenAI: o3 MiniGPT-5.6 Terra vs OpenAI: o3 Mini