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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. Google: Gemini 2.5 Pro (batch) vs OpenAI: o3 Mini

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

Google: Gemini 2.5 Pro (batch) 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 2.5 Pro (batch) 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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Google
Google: Gemini 2.5 Pro (batch)

Auto-discovered from OpenRouter (google/gemini-2.5-pro:batch). Preview until a second source matches.

$5/1M out
OpenAI
OpenAI: o3 Mini

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

o3-miniElo 1,560$4.4/1M out

OpenAI: o3 Mini Thinking Depth & Cost Scaler

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.

Thinking Delay
290 ms
Standard speed
Reasoning Depth
~1,500
Internal tokens
Cost / 1k Calls
$8.47
4.5× standard bill
Accuracy Boost
+4.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for Google: Gemini 2.5 Pro (batch)
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

OpenAI: o3 Mini

$4.4 / 1M output

Capability Percentiles

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

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageOpenAI: o3 Mini 5/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Google: Gemini 2.5 Pro (batch) (2)vsOpenAI: o3 Mini (8)
Google: Gemini 2.5 Pro (batch): 2W (20%)Overall: OpenAI: o3 MiniOpenAI: o3 Mini: 8W (80%)
← Google: Gemini 2.5 Pro (batch)OpenAI: o3 Mini →
OpenAI: o3 Mini (5/5)

Intelligence & Reasoning

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

Preference Elo
—vs1,560
Coding Elo
—vs1,585
SWE-bench
—vs78.5%
LiveBench
—vs72.4%
GPQA Diamond
—vs87.2%
Google: Gemini 2.5 Pro (batch): 0WOpenAI: o3 Mini: 5W
OpenAI: o3 Mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs92 tok/s
Time to first token
—vs290 ms
Google: Gemini 2.5 Pro (batch): 0WOpenAI: o3 Mini: 2W
Google: Gemini 2.5 Pro (batch) (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$5/1Mvs$4.4/1M
Input price
$0.625/1Mvs$1.1/1M
Context window
1Mvs200k
Google: Gemini 2.5 Pro (batch): 2WOpenAI: o3 Mini: 1W

Side-by-Side Benchmark Matrix

Preference Elo
Google: Gemini 2.5 Pro (batch)—
OpenAI: o3 Mini1,560
lmarena · Aug 17, 2026
Coding Elo
Google: Gemini 2.5 Pro (batch)—
OpenAI: o3 Mini1,585
lmarena · Aug 17, 2026
LiveBench
Google: Gemini 2.5 Pro (batch)—
OpenAI: o3 Mini72.4%
livebench · Aug 17, 2026
SWE-bench
Google: Gemini 2.5 Pro (batch)—
OpenAI: o3 Mini78.5%
swebench · Aug 17, 2026
GPQA Diamond
Google: Gemini 2.5 Pro (batch)—
OpenAI: o3 Mini87.2%
seed-bootstrap · Aug 1, 2026
Time to first token
Google: Gemini 2.5 Pro (batch)—
OpenAI: o3 Mini290 ms
seed-bootstrap · Aug 1, 2026
Output speed
Google: Gemini 2.5 Pro (batch)—
OpenAI: o3 Mini92 tok/s
seed-bootstrap · Aug 1, 2026
Input priceGoogle: Gemini 2.5 Pro (batch) (+$0.475/1M)
Google: Gemini 2.5 Pro (batch)$0.625/1M
openrouter · Aug 17, 2026
OpenAI: o3 Mini$1.1/1M
openrouter · Aug 17, 2026
Output priceOpenAI: o3 Mini (+$0.6/1M)
Google: Gemini 2.5 Pro (batch)$5/1M
openrouter · Aug 17, 2026
OpenAI: o3 Mini$4.4/1M
openrouter · Aug 17, 2026
Context windowGoogle: Gemini 2.5 Pro (batch) (+849k)
Google: Gemini 2.5 Pro (batch)1M
openrouter · Aug 17, 2026
OpenAI: o3 Mini200k
openrouter · Aug 17, 2026
BenchmarkGoogle: Gemini 2.5 Pro (batch)OpenAI: 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
$0.625/1M
openrouter · Aug 17, 2026
$1.1/1M
openrouter · Aug 17, 2026
Google: Gemini 2.5 Pro (batch) (+$0.475/1M)
Output price
$5/1M
openrouter · Aug 17, 2026
$4.4/1M
openrouter · Aug 17, 2026
OpenAI: o3 Mini (+$0.6/1M)
Context window
1M
openrouter · Aug 17, 2026
200k
openrouter · Aug 17, 2026
Google: Gemini 2.5 Pro (batch) (+849k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 7% with Google: Gemini 2.5 Pro (batch)
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 2.5 Pro (batch)$96.88 / mo
In: $21.88Out: $75
OpenAI: o3 Mini$104.50 / mo
In: $38.5Out: $66
Estimated Cost Delta

Google: Gemini 2.5 Pro (batch) is estimated to save $7.63/month ($92/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 2.5 Pro (batch):Pick Google: Gemini 2.5 Pro (batch) 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 2.5 Pro (batch)

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 2.5 Pro (batch)Larger window (1M).
Screenshots / visionOpenAI: o3 MiniOpenAI: o3 Mini is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

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LIVE
VS
Google

Google: Gemini 2.5 Pro (batch)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$5/1M
OpenAI

OpenAI: o3 Mini

Elo 1,560
LiveBench72.4%
SWE-bench78.5%
Speed92 tok/s
Output cost$4.4/1M

Frequently Asked Questions

Which is better overall, Google: Gemini 2.5 Pro (batch) 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 2.5 Pro (batch) 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 $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Google: Gemini 2.5 Pro (batch) or OpenAI: o3 Mini?
We do not have TTFT for both models.
Which has the larger context window?
Google: Gemini 2.5 Pro (batch) 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 2.5 Pro (batch) 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 2.5 Pro (batch) 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 MiniGemini 3 Pro vs OpenAI: o3 MiniGemini 3 Flash vs OpenAI: o3 MiniGPT-4.5 Orion vs OpenAI: o3 Mini