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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 3.6 Pro vs OpenAI: GPT-5 Image Mini

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

Gemini 3.6 Pro vs OpenAI: GPT-5 Image Mini benchmark

In this head-to-head showdown, OpenAI: GPT-5 Image 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: Choose Gemini 3.6 Pro if your priority is peak reasoning, complex code generation, and top preference Elo. Choose OpenAI: GPT-5 Image Mini if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

Gemini 3.6 Pro holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
Gemini 3.6 ProTop code solve rate
ReasoningGPQA / Live
Gemini 3.6 ProTop logical accuracy
Best Value$/1M Tok
OpenAI: GPT-5 Image MiniLowest API billing cost
Speed / TokTok/Sec
Gemini 3.6 ProFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Gemini 3.6 Pro (2)OpenAI: GPT-5 Image Mini (1)
Gemini 3.6 Pro
2 of 3 Wins
✓Input price✓Context window
OpenAI: GPT-5 Image Mini
1 of 3 Wins
✓Output price
Google
Leads 2 of 3
Gemini 3.6 Pro

Current Google Pro-class multimodal model. Long context, strong coding, billed like the 3.x Pro tier.

Elo 1,570In: $1.25 · Out: $5/1M
OpenAI
Leads 1 of 3
OpenAI: GPT-5 Image Mini

Auto-discovered from OpenRouter (openai/gpt-5-image-mini). Preview until a second source matches.

In: $2.5 · Out: $2/1M

Gemini 3.6 Pro Thinking Depth & Cost Scaler

Model A

Simulate accuracy gains vs added response time & token cost

Mode: Medium (8k tokens)

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
205 ms
Standard
CoT Tokens
~2,400
Internal reasoning
Cost / 1k
$14.13
6.6× base bill
Accuracy Boost
+4.8%
STEM & Logic
Top Rival Showdowns for Gemini 3.6 Pro
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 LeaderOpenAI: GPT-5 Image Mini Wins

OpenAI: GPT-5 Image 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 3.6 Pro (9)vsOpenAI: GPT-5 Image Mini (1)
Gemini 3.6 Pro: 9W (90%)Overall: Gemini 3.6 ProOpenAI: GPT-5 Image Mini: 1W (10%)
← Gemini 3.6 ProOpenAI: GPT-5 Image Mini →
🏆Gemini 3.6 Pro Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Gemini 3.6 ProvsOpenAI: GPT-5 Image Mini
Preference Elo
1,570vs—
Coding Elo
1,566vs—
SWE-bench
74.6%vs—
LiveBench
71.8%vs—
GPQA Diamond
84.4%vs—
Gemini 3.6 Pro: 5WOpenAI: GPT-5 Image Mini: 0W
🏆Gemini 3.6 Pro Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 3.6 ProvsOpenAI: GPT-5 Image Mini
Output speed
102 tok/svs—
Time to first token
205 msvs—
Gemini 3.6 Pro: 2WOpenAI: GPT-5 Image Mini: 0W
🏆Gemini 3.6 Pro Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 3.6 ProvsOpenAI: GPT-5 Image Mini
Output price
$5/1Mvs$2/1M+$3/1M
Input price
$1.25/1Mvs$2.5/1M+$1.25/1M
Context window
2Mvs400k+1.6M
Gemini 3.6 Pro: 2WOpenAI: GPT-5 Image Mini: 1W

Side-by-Side Benchmark Matrix

Gemini 3.6 ProOpenAI: GPT-5 Image Mini
Preference Elo
Gemini 3.6 Pro1,570
OpenAI: GPT-5 Image Mini—
Coding Elo
Gemini 3.6 Pro1,566
OpenAI: GPT-5 Image Mini—
LiveBench
Gemini 3.6 Pro71.8%
OpenAI: GPT-5 Image Mini—
SWE-bench
Gemini 3.6 Pro74.6%
OpenAI: GPT-5 Image Mini—
GPQA Diamond
Gemini 3.6 Pro84.4%
OpenAI: GPT-5 Image Mini—
Time to first token
Gemini 3.6 Pro205 ms
OpenAI: GPT-5 Image Mini—
Output speed
Gemini 3.6 Pro102 tok/s
OpenAI: GPT-5 Image Mini—
Input priceGemini 3.6 Pro +$1.25/1M
Gemini 3.6 Pro$1.25/1M
OpenAI: GPT-5 Image Mini$2.5/1M
Output priceOpenAI: GPT-5 Image Mini +$3/1M
Gemini 3.6 Pro$5/1M
OpenAI: GPT-5 Image Mini$2/1M
Context windowGemini 3.6 Pro +1.6M
Gemini 3.6 Pro2M
OpenAI: GPT-5 Image Mini400k
BenchmarkGemini 3.6 ProOpenAI: GPT-5 Image MiniAdvantage Delta
Preference Elo
1,570
lmarena · Aug 16, 2026
——
Coding Elo
1,566
lmarena · Aug 16, 2026
——
LiveBench
71.8%
livebench · Aug 16, 2026
——
SWE-bench
74.6%
swebench · Aug 16, 2026
——
GPQA Diamond
84.4%
seed-bootstrap · Aug 16, 2026
——
Time to first token
205 ms
seed-bootstrap · Aug 16, 2026
——
Output speed
102 tok/s
seed-bootstrap · Aug 16, 2026
——
Input price
$1.25/1M
seed-bootstrap · Aug 16, 2026
$2.5/1M
openrouter · Aug 17, 2026
+$1.25/1M
Output price
$5/1M
seed-bootstrap · Aug 16, 2026
$2/1M
openrouter · Aug 17, 2026
+$3/1M
Context window
2M
seed-bootstrap · Aug 16, 2026
400k
openrouter · Aug 17, 2026
+1.6M

Workload Cost & Savings Calculator

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

Save 1% with OpenAI: GPT-5 Image 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 3.6 Pro$118.75 / mo
In: $43.75Out: $75
OpenAI: GPT-5 Image Mini$117.50 / mo
In: $87.5Out: $30
Estimated Cost Delta

OpenAI: GPT-5 Image Mini is estimated to save $1.25/month ($15/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    OpenAI: GPT-5 Image Mini:Pick OpenAI: GPT-5 Image Mini when you are optimizing output cost.
  • 2
    Gemini 3.6 Pro:Pick Gemini 3.6 Pro for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: GPT-5 Image Mini

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGemini 3.6 Pro

Larger window (2M).

Screenshots / visionGemini 3.6 Pro

Gemini 3.6 Pro is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatOpenAI: GPT-5 Image MiniLower output list price ($2/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGemini 3.6 ProLarger window (2M).
Screenshots / visionGemini 3.6 ProGemini 3.6 Pro is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
compareAug 13, 2026

Gemini Flash vs Pro: when Flash is the whole product

3.7 Flash vs 3.6 Pro is the current Google volume-versus-upgrade pair.

compareJul 24, 2026

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

Top Anthropic vs top Google. Usually Opus 5 vs 3.6 Pro. Two different invoices.

compareJul 16, 2026

Gemini vs GPT: long context versus the OpenAI flagship invoice

Hub remaps to top Google vs top OpenAI Elo. Usually 3.6 Pro vs Sol. Window vs price is the plot.

launchJul 15, 2026

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

2M context, Pro-class Elo and coding. Upgrade path from Flash is this page, not a vibe check.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Google

Gemini 3.6 Pro

Elo 1,570
SWE-bench74.6%
Speed (tok/s)102 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$5/1M
OpenAI

OpenAI: GPT-5 Image Mini

Elo n/a
SWE-bench—
Speed (tok/s)400k
Input / 1M Tokens$2.5/1M
Output / 1M Tokens$2/1M

Frequently Asked Questions

Which is better overall, Gemini 3.6 Pro or OpenAI: GPT-5 Image 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, Gemini 3.6 Pro or OpenAI: GPT-5 Image 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: GPT-5 Image Mini output tokens are $2/1M versus $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 3.6 Pro or OpenAI: GPT-5 Image Mini?
We do not have TTFT for both models.
Which has the larger context window?
Gemini 3.6 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 3.6 Pro and OpenAI: GPT-5 Image Mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

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

Similar Head-to-Head Comparisons

All Gemini 3.6 Pro matchups →|All OpenAI: GPT-5 Image Mini matchups →
Gemini 3.6 Pro vs Gemini 3 Pro (previous gemini-pro)GPT-5 vs Gemini 3.6 ProGPT-5.6 Terra vs Gemini 3.6 ProGPT-4.5 Orion vs Gemini 3.6 ProGPT-5.6 Sol vs Gemini 3.6 ProGemini 3.7 Flash vs Gemini 3.6 Pro