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  3. Google: Nano Banana 2 (Gemini 3.1 Flash Image) vs GPT-4 Turbo

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

Google: Nano Banana 2 (Gemini 3.1 Flash Image) vs GPT-4 Turbo benchmark

In this head-to-head showdown, Google: Nano Banana 2 (Gemini 3.1 Flash Image) is more budget-friendly at $3/1M 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 Google: Nano Banana 2 (Gemini 3.1 Flash Image) and GPT-4 Turbo 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

Google: Nano Banana 2 (Gemini 3.1 Flash Image) holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
GPT-4 TurboTop code solve rate
ReasoningGPQA / Live
GPT-4 TurboTop logical accuracy
Best Value$/1M Tok
Google: Nano Banana 2 (Gemini 3.1 Flash Image)Lowest API billing cost
Speed / TokTok/Sec
GPT-4 TurboFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Google: Nano Banana 2 (Gemini 3.1 Flash Image) (3)GPT-4 Turbo (0)
Google: Nano Banana 2 (Gemini 3.1 Flash Image)
3 of 3 Wins
✓Input price✓Output price✓Context window
GPT-4 Turbo
0 of 3 Wins
Competitive baseline across remaining benchmarks
Google
Leads 3 of 3
Google: Nano Banana 2 (Gemini 3.1 Flash Image)

Auto-discovered from OpenRouter (google/gemini-3.1-flash-image). Preview until a second source matches.

In: $0.5 · Out: $3/1M
OpenAI
GPT-4 Turbo

GPT-4 Turbo 128k. Historical flagship for gpt-4 turbo vs gpt-4o / gpt-5.

Elo 1,255In: $10 · Out: $30/1M
Top Rival Showdowns for Google: Nano Banana 2 (Gemini 3.1 Flash Image)
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 LeaderGoogle: Nano Banana 2 (Gemini 3.1 Flash Image) Wins

Google: Nano Banana 2 (Gemini 3.1 Flash Image)

$3 / 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: Nano Banana 2 (Gemini 3.1 Flash Image) (3)vsGPT-4 Turbo (6)
Google: Nano Banana 2 (Gemini 3.1 Flash Image): 3W (33%)Overall: GPT-4 TurboGPT-4 Turbo: 6W (67%)
← Google: Nano Banana 2 (Gemini 3.1 Flash Image)GPT-4 Turbo →
🏆GPT-4 Turbo Leads(4/5)

Intelligence & Reasoning

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

Benchmark
Google: Nano Banana 2 (Gemini 3.1 Flash Image)vsGPT-4 Turbo
Preference Elo
—vs1,255
Coding Elo
—vs—
SWE-bench
—vs33.2%
LiveBench
—vs47%
GPQA Diamond
—vs48%
Google: Nano Banana 2 (Gemini 3.1 Flash Image): 0WGPT-4 Turbo: 4W
🏆GPT-4 Turbo Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Google: Nano Banana 2 (Gemini 3.1 Flash Image)vsGPT-4 Turbo
Output speed
—vs55 tok/s
Time to first token
—vs350 ms
Google: Nano Banana 2 (Gemini 3.1 Flash Image): 0WGPT-4 Turbo: 2W
🏆Google: Nano Banana 2 (Gemini 3.1 Flash Image) Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Google: Nano Banana 2 (Gemini 3.1 Flash Image)vsGPT-4 Turbo
Output price
$3/1Mvs$30/1M+$27/1M
Input price
$0.5/1Mvs$10/1M+$9.5/1M
Context window
131kvs128k+3k
Google: Nano Banana 2 (Gemini 3.1 Flash Image): 3WGPT-4 Turbo: 0W

Side-by-Side Benchmark Matrix

Google: Nano Banana 2 (Gemini 3.1 Flash Image)GPT-4 Turbo
Preference Elo
Google: Nano Banana 2 (Gemini 3.1 Flash Image)—
GPT-4 Turbo1,255
LiveBench
Google: Nano Banana 2 (Gemini 3.1 Flash Image)—
GPT-4 Turbo47%
SWE-bench
Google: Nano Banana 2 (Gemini 3.1 Flash Image)—
GPT-4 Turbo33.2%
GPQA Diamond
Google: Nano Banana 2 (Gemini 3.1 Flash Image)—
GPT-4 Turbo48%
Time to first token
Google: Nano Banana 2 (Gemini 3.1 Flash Image)—
GPT-4 Turbo350 ms
Output speed
Google: Nano Banana 2 (Gemini 3.1 Flash Image)—
GPT-4 Turbo55 tok/s
Input priceGoogle: Nano Banana 2 (Gemini 3.1 Flash Image) +$9.5/1M
Google: Nano Banana 2 (Gemini 3.1 Flash Image)$0.5/1M
GPT-4 Turbo$10/1M
Output priceGoogle: Nano Banana 2 (Gemini 3.1 Flash Image) +$27/1M
Google: Nano Banana 2 (Gemini 3.1 Flash Image)$3/1M
GPT-4 Turbo$30/1M
Context windowGoogle: Nano Banana 2 (Gemini 3.1 Flash Image) +3k
Google: Nano Banana 2 (Gemini 3.1 Flash Image)131k
GPT-4 Turbo128k
BenchmarkGoogle: Nano Banana 2 (Gemini 3.1 Flash Image)GPT-4 TurboAdvantage Delta
Preference Elo—
1,255
lmarena · Aug 17, 2026
—
LiveBench—
47%
livebench · Aug 17, 2026
—
SWE-bench—
33.2%
swebench · Aug 17, 2026
—
GPQA Diamond—
48%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
350 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
55 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.5/1M
openrouter · Aug 17, 2026
$10/1M
openrouter · Aug 17, 2026
+$9.5/1M
Output price
$3/1M
openrouter · Aug 17, 2026
$30/1M
openrouter · Aug 17, 2026
+$27/1M
Context window
131k
openrouter · Aug 17, 2026
128k
openrouter · Aug 17, 2026
+3k

Workload Cost & Savings Calculator

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

Save 92% with Google: Nano Banana 2 (Gemini 3.1 Flash Image)
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Google: Nano Banana 2 (Gemini 3.1 Flash Image)$62.50 / mo
In: $17.5Out: $45
GPT-4 Turbo$800.00 / mo
In: $350Out: $450
Estimated Cost Delta

Google: Nano Banana 2 (Gemini 3.1 Flash Image) is estimated to save $737.50/month ($8,850/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Google: Nano Banana 2 (Gemini 3.1 Flash Image):Pick Google: Nano Banana 2 (Gemini 3.1 Flash 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 2 (Gemini 3.1 Flash Image)

Lower output list price ($3/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Nano Banana 2 (Gemini 3.1 Flash Image)

Larger window (131k).

Screenshots / visionGPT-4 Turbo

GPT-4 Turbo 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 2 (Gemini 3.1 Flash Image)Lower output list price ($3/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGoogle: Nano Banana 2 (Gemini 3.1 Flash Image)Larger window (131k).
Screenshots / visionGPT-4 TurboGPT-4 Turbo 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

Google: Nano Banana 2 (Gemini 3.1 Flash Image)

Elo n/a
SWE-bench—
Speed (tok/s)131k
Input / 1M Tokens$0.5/1M
Output / 1M Tokens$3/1M
OpenAI

GPT-4 Turbo

Elo 1,255
SWE-bench33.2%
Speed (tok/s)55 tok/s
Input / 1M Tokens$10/1M
Output / 1M Tokens$30/1M

Frequently Asked Questions

Which is better overall, Google: Nano Banana 2 (Gemini 3.1 Flash Image) or GPT-4 Turbo?
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: Nano Banana 2 (Gemini 3.1 Flash Image) or GPT-4 Turbo?
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 2 (Gemini 3.1 Flash Image) output tokens are $3/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, Google: Nano Banana 2 (Gemini 3.1 Flash Image) or GPT-4 Turbo?
We do not have TTFT for both models.
Which has the larger context window?
Google: Nano Banana 2 (Gemini 3.1 Flash Image) accepts 131k tokens versus 128k.
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: Nano Banana 2 (Gemini 3.1 Flash Image) and GPT-4 Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Google: Nano Banana 2 (Gemini 3.1 Flash Image) matchups →|All GPT-4 Turbo matchups →
GPT-4 Turbo vs GPT-4o (next gpt-flagship)GPT-5 vs GPT-4 TurboGemini 3 Pro vs GPT-4 TurboGemini 3 Flash vs GPT-4 TurboGPT-4.5 Orion vs GPT-4 TurboGemini 2.0 Flash Thinking vs GPT-4 Turbo