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  3. Claude 3 Opus vs Google: Nano Banana Pro (Gemini 3 Pro Image)
Independent ReportPairwise benchmark snapshot · Aug 17, 2026
noindex (thin pair)
Claude 3 Opus(Anthropic)
vs
Google: Nano Banana Pro (Gemini 3 Pro Image)(Google)

Claude 3 Opus vs Google: Nano Banana Pro (Gemini 3 Pro Image) benchmark

In this head-to-head showdown, Google: Nano Banana Pro (Gemini 3 Pro Image) is more budget-friendly at $12/1M 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 Claude 3 Opus if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Google: Nano Banana Pro (Gemini 3 Pro Image) if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

Google: Nano Banana Pro (Gemini 3 Pro Image) holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
Claude 3 OpusTop code solve rate
ReasoningGPQA / Live
Claude 3 OpusTop logical accuracy
Best Value$/1M Tok
Google: Nano Banana Pro (Gemini 3 Pro Image)Lowest API billing cost
Speed / TokTok/Sec
Claude 3 OpusFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Claude 3 Opus (1)Google: Nano Banana Pro (Gemini 3 Pro Image) (2)
Claude 3 Opus
1 of 3 Wins
✓Context window
Google: Nano Banana Pro (Gemini 3 Pro Image)
2 of 3 Wins
✓Input price✓Output price
Anthropic
Leads 1 of 3
Claude 3 Opus

Original Claude 3 flagship. Kept so opus 3 vs later Opus and vs GPT-4o still resolve.

Elo 1,248In: $15 · Out: $75/1M
Google
Leads 2 of 3
Google: Nano Banana Pro (Gemini 3 Pro Image)

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

In: $2 · Out: $12/1M
Top Rival Showdowns for Claude 3 Opus
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs 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 LeaderGoogle: Nano Banana Pro (Gemini 3 Pro Image) Wins

Google: Nano Banana Pro (Gemini 3 Pro Image)

$12 / 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.

Claude 3 Opus (7)vsGoogle: Nano Banana Pro (Gemini 3 Pro Image) (2)
Claude 3 Opus: 7W (78%)Overall: Claude 3 OpusGoogle: Nano Banana Pro (Gemini 3 Pro Image): 2W (22%)
← Claude 3 OpusGoogle: Nano Banana Pro (Gemini 3 Pro Image) →
🏆Claude 3 Opus Leads(4/5)

Intelligence & Reasoning

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

Benchmark
Claude 3 OpusvsGoogle: Nano Banana Pro (Gemini 3 Pro Image)
Preference Elo
1,248vs—
Coding Elo
—vs—
SWE-bench
38.4%vs—
LiveBench
46.2%vs—
GPQA Diamond
50.4%vs—
Claude 3 Opus: 4WGoogle: Nano Banana Pro (Gemini 3 Pro Image): 0W
🏆Claude 3 Opus Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Claude 3 OpusvsGoogle: Nano Banana Pro (Gemini 3 Pro Image)
Output speed
48 tok/svs—
Time to first token
420 msvs—
Claude 3 Opus: 2WGoogle: Nano Banana Pro (Gemini 3 Pro Image): 0W
🏆Google: Nano Banana Pro (Gemini 3 Pro Image) Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Claude 3 OpusvsGoogle: Nano Banana Pro (Gemini 3 Pro Image)
Output price
$75/1Mvs$12/1M+$63/1M
Input price
$15/1Mvs$2/1M+$13/1M
Context window
200kvs131k+69k
Claude 3 Opus: 1WGoogle: Nano Banana Pro (Gemini 3 Pro Image): 2W

Side-by-Side Benchmark Matrix

Claude 3 OpusGoogle: Nano Banana Pro (Gemini 3 Pro Image)
Preference Elo
Claude 3 Opus1,248
Google: Nano Banana Pro (Gemini 3 Pro Image)—
LiveBench
Claude 3 Opus46.2%
Google: Nano Banana Pro (Gemini 3 Pro Image)—
SWE-bench
Claude 3 Opus38.4%
Google: Nano Banana Pro (Gemini 3 Pro Image)—
GPQA Diamond
Claude 3 Opus50.4%
Google: Nano Banana Pro (Gemini 3 Pro Image)—
Time to first token
Claude 3 Opus420 ms
Google: Nano Banana Pro (Gemini 3 Pro Image)—
Output speed
Claude 3 Opus48 tok/s
Google: Nano Banana Pro (Gemini 3 Pro Image)—
Input priceGoogle: Nano Banana Pro (Gemini 3 Pro Image) +$13/1M
Claude 3 Opus$15/1M
Google: Nano Banana Pro (Gemini 3 Pro Image)$2/1M
Output priceGoogle: Nano Banana Pro (Gemini 3 Pro Image) +$63/1M
Claude 3 Opus$75/1M
Google: Nano Banana Pro (Gemini 3 Pro Image)$12/1M
Context windowClaude 3 Opus +69k
Claude 3 Opus200k
Google: Nano Banana Pro (Gemini 3 Pro Image)131k
BenchmarkClaude 3 OpusGoogle: Nano Banana Pro (Gemini 3 Pro Image)Advantage Delta
Preference Elo
1,248
lmarena · Aug 17, 2026
——
LiveBench
46.2%
livebench · Aug 17, 2026
——
SWE-bench
38.4%
swebench · Aug 17, 2026
——
GPQA Diamond
50.4%
seed-bootstrap · Aug 1, 2026
——
Time to first token
420 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
48 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$15/1M
seed-bootstrap · Aug 1, 2026
$2/1M
openrouter · Aug 17, 2026
+$13/1M
Output price
$75/1M
seed-bootstrap · Aug 1, 2026
$12/1M
openrouter · Aug 17, 2026
+$63/1M
Context window
200k
seed-bootstrap · Aug 1, 2026
131k
openrouter · Aug 17, 2026
+69k

Workload Cost & Savings Calculator

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

Save 85% with Google: Nano Banana Pro (Gemini 3 Pro Image)
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Claude 3 Opus$1,650.00 / mo
In: $525Out: $1,125
Google: Nano Banana Pro (Gemini 3 Pro Image)$250.00 / mo
In: $70Out: $180
Estimated Cost Delta

Google: Nano Banana Pro (Gemini 3 Pro Image) is estimated to save $1,400.00/month ($16,800/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Google: Nano Banana Pro (Gemini 3 Pro Image):Pick Google: Nano Banana Pro (Gemini 3 Pro Image) when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Nano Banana Pro (Gemini 3 Pro Image)

Lower output list price ($12/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGClaude 3 Opus

Larger window (200k).

Screenshots / visionClaude 3 Opus

Claude 3 Opus is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatGoogle: Nano Banana Pro (Gemini 3 Pro Image)Lower output list price ($12/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGClaude 3 OpusLarger window (200k).
Screenshots / visionClaude 3 OpusClaude 3 Opus is the side marked multimodal in the catalog.

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Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Anthropic

Claude 3 Opus

Elo 1,248
SWE-bench38.4%
Speed (tok/s)48 tok/s
Input / 1M Tokens$15/1M
Output / 1M Tokens$75/1M
Google

Google: Nano Banana Pro (Gemini 3 Pro Image)

Elo n/a
SWE-bench—
Speed (tok/s)131k
Input / 1M Tokens$2/1M
Output / 1M Tokens$12/1M

Frequently Asked Questions

Which is better overall, Claude 3 Opus or Google: Nano Banana Pro (Gemini 3 Pro Image)?
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, Claude 3 Opus or Google: Nano Banana Pro (Gemini 3 Pro Image)?
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?
Google: Nano Banana Pro (Gemini 3 Pro Image) output tokens are $12/1M versus $75/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3 Opus or Google: Nano Banana Pro (Gemini 3 Pro Image)?
We do not have TTFT for both models.
Which has the larger context window?
Claude 3 Opus accepts 200k tokens versus 131k.
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. Claude 3 Opus and Google: Nano Banana Pro (Gemini 3 Pro Image) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude 3 Opus matchups →|All Google: Nano Banana Pro (Gemini 3 Pro Image) matchups →
Claude 3 Opus vs Claude Opus 4 (next opus)Claude Opus 4.5 vs Claude 3 OpusClaude Opus 4.6 vs Claude 3 OpusClaude Sonnet 4.5 vs Claude 3 OpusGemini 3 Pro vs Claude 3 OpusGemini 3 Flash vs Claude 3 Opus