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  3. Gemini 1.5 Pro vs Google: Nano Banana Pro (Gemini 3 Pro Image Preview)

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

Gemini 1.5 Pro vs Google: Nano Banana Pro (Gemini 3 Pro Image Preview) benchmark

In this head-to-head showdown, Gemini 1.5 Pro is more budget-friendly at $5/1M 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: Both Gemini 1.5 Pro and Google: Nano Banana Pro (Gemini 3 Pro Image Preview) present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

Gemini 1.5 Pro holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
Gemini 1.5 ProTop code solve rate
ReasoningGPQA / Live
Gemini 1.5 ProTop logical accuracy
Best Value$/1M Tok
Gemini 1.5 ProLowest API billing cost
Speed / TokTok/Sec
Gemini 1.5 ProFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Gemini 1.5 Pro (3)Google: Nano Banana Pro (Gemini 3 Pro Image Preview) (0)
Gemini 1.5 Pro
3 of 3 Wins
✓Input price✓Output price✓Context window
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)
0 of 3 Wins
Competitive baseline across remaining benchmarks
Google
Leads 3 of 3
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
Google
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)

Auto-discovered from OpenRouter (google/gemini-3-pro-image-preview). Preview until a second source matches.

In: $2 · Out: $12/1M
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 Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderGemini 1.5 Pro Wins

Gemini 1.5 Pro

$5 / 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 (9)vsGoogle: Nano Banana Pro (Gemini 3 Pro Image Preview) (0)
Gemini 1.5 Pro: 9W (100%)Overall: Gemini 1.5 ProGoogle: Nano Banana Pro (Gemini 3 Pro Image Preview): 0W (0%)
← Gemini 1.5 ProGoogle: Nano Banana Pro (Gemini 3 Pro Image Preview) →
🏆Gemini 1.5 Pro Leads(4/5)

Intelligence & Reasoning

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

Benchmark
Gemini 1.5 ProvsGoogle: Nano Banana Pro (Gemini 3 Pro Image Preview)
Preference Elo
1,260vs—
Coding Elo
—vs—
SWE-bench
38%vs—
LiveBench
49.2%vs—
GPQA Diamond
58%vs—
Gemini 1.5 Pro: 4WGoogle: Nano Banana Pro (Gemini 3 Pro Image Preview): 0W
🏆Gemini 1.5 Pro Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 1.5 ProvsGoogle: Nano Banana Pro (Gemini 3 Pro Image Preview)
Output speed
70 tok/svs—
Time to first token
240 msvs—
Gemini 1.5 Pro: 2WGoogle: Nano Banana Pro (Gemini 3 Pro Image Preview): 0W
🏆Gemini 1.5 Pro Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 1.5 ProvsGoogle: Nano Banana Pro (Gemini 3 Pro Image Preview)
Output price
$5/1Mvs$12/1M+$7/1M
Input price
$1.25/1Mvs$2/1M+$0.75/1M
Context window
2Mvs66k+1.9M
Gemini 1.5 Pro: 3WGoogle: Nano Banana Pro (Gemini 3 Pro Image Preview): 0W

Side-by-Side Benchmark Matrix

Gemini 1.5 ProGoogle: Nano Banana Pro (Gemini 3 Pro Image Preview)
Preference Elo
Gemini 1.5 Pro1,260
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)—
LiveBench
Gemini 1.5 Pro49.2%
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)—
SWE-bench
Gemini 1.5 Pro38%
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)—
GPQA Diamond
Gemini 1.5 Pro58%
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)—
Time to first token
Gemini 1.5 Pro240 ms
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)—
Output speed
Gemini 1.5 Pro70 tok/s
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)—
Input priceGemini 1.5 Pro +$0.75/1M
Gemini 1.5 Pro$1.25/1M
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)$2/1M
Output priceGemini 1.5 Pro +$7/1M
Gemini 1.5 Pro$5/1M
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)$12/1M
Context windowGemini 1.5 Pro +1.9M
Gemini 1.5 Pro2M
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)66k
BenchmarkGemini 1.5 ProGoogle: Nano Banana Pro (Gemini 3 Pro Image Preview)Advantage Delta
Preference Elo
1,260
lmarena · Aug 17, 2026
——
LiveBench
49.2%
livebench · Aug 17, 2026
——
SWE-bench
38%
swebench · Aug 17, 2026
——
GPQA Diamond
58%
seed-bootstrap · Aug 1, 2026
——
Time to first token
240 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
70 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$1.25/1M
seed-bootstrap · Aug 1, 2026
$2/1M
openrouter · Aug 17, 2026
+$0.75/1M
Output price
$5/1M
seed-bootstrap · Aug 1, 2026
$12/1M
openrouter · Aug 17, 2026
+$7/1M
Context window
2M
seed-bootstrap · Aug 1, 2026
66k
openrouter · Aug 17, 2026
+1.9M

Workload Cost & Savings Calculator

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

Save 53% with Gemini 1.5 Pro
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
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)$250.00 / mo
In: $70Out: $180
Estimated Cost Delta

Gemini 1.5 Pro is estimated to save $131.25/month ($1,575/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro when you are optimizing output cost.
  • 2
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGemini 1.5 Pro

Lower output list price ($5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

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 agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatGemini 1.5 ProLower output list price ($5/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGemini 1.5 ProLarger window (2M).
Screenshots / visionGemini 1.5 ProGemini 1.5 Pro is the side marked multimodal in the catalog.

Cast Your Matchup Vote

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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
Google

Google: Nano Banana Pro (Gemini 3 Pro Image Preview)

Elo n/a
SWE-bench—
Speed (tok/s)66k
Input / 1M Tokens$2/1M
Output / 1M Tokens$12/1M

Frequently Asked Questions

Which is better overall, Gemini 1.5 Pro or Google: Nano Banana Pro (Gemini 3 Pro Image Preview)?
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 1.5 Pro or Google: Nano Banana Pro (Gemini 3 Pro Image Preview)?
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?
Gemini 1.5 Pro output tokens are $5/1M versus $12/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 1.5 Pro or Google: Nano Banana Pro (Gemini 3 Pro Image Preview)?
We do not have TTFT for both models.
Which has the larger context window?
Gemini 1.5 Pro accepts 2M tokens versus 66k.
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 Google: Nano Banana Pro (Gemini 3 Pro Image Preview) 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 Google: Nano Banana Pro (Gemini 3 Pro Image Preview) matchups →
Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)Gemini 3 Pro vs Gemini 1.5 ProGemini 3 Flash vs Gemini 1.5 ProGemini 2.0 Flash Thinking vs Gemini 1.5 ProGemini 3.6 Pro vs Gemini 1.5 ProGemini 3.6 Flash vs Gemini 1.5 Pro