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Gemini 3.8 Flash vs GPT-4.1 Nano

Gemini 3.8 Flash

Google

40#233
vs
GPT-4.1 Nano

OpenAI

42#230
Signal-by-Signal Comparison
SignalGemini 3.8 FlashDeltaGPT-4.1 Nano
Capabilities
100
+17
83
Pricing
96
-3
100
Context window size
96
--
96
Recency
100
+59
41
Output Capacity
77
+5
72
Benchmarks
0
-44
44
Overall Result
3 wins
of 6
2 wins
Gemini 3.8 Flash wins 3 of 6 signals

Score History

Score History (29 data points)
Gemini 3.8 FlashGPT-4.1 Nano
Gemini 3.8 Flash

40

current score

Leader

GPT-4.1 Nano

right now

GPT-4.1 Nano

42.1

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Gemini 3.8 Flash

Google

Per request$0.002625
Daily$8.75
Monthly$262.50
Annual$3150.00

GPT-4.1 Nano

OpenAI

Best Value
Per request$0.000300
Daily$1.00
Monthly$30.00
Annual$360.00

GPT-4.1 Nano saves you $232.50/month

That's $2790.00/year compared to Gemini 3.8 Flash at your current usage level of 100K calls/month.

89% cheaper
Choose GPT-4.1 Nano for cost optimization

Gemini 3.8 Flash pricing:
Input:$0.75/M tokens
Output:$3.75/M tokens
GPT-4.1 Nano pricing:
Input:$0.10/M tokens
Output:$0.40/M tokens
Gemini 3.8 Flash

Google

40

Composite Score

Winner
GPT-4.1 Nano

OpenAI

42

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.8 FlashGPT-4.1 NanoWinner
Overall Score
40
42
GPT-4.1 Nano
Rank#233#230
GPT-4.1 Nano
Quality Rank#233#230
GPT-4.1 Nano
Adoption Rank#233#230
GPT-4.1 Nano
Parameters------
Context Window1049K1048K
Gemini 3.8 Flash
Pricing$0.75/$3.75/M$0.10/$0.40/M--
Signal Scores
Capabilities
100
83
Gemini 3.8 Flash
Pricing
96
100
GPT-4.1 Nano
Context window size
96
96
Gemini 3.8 Flash
Recency
100
41
Gemini 3.8 Flash
Output Capacity
77
72
Gemini 3.8 Flash
Benchmarks--
44
GPT-4.1 Nano
Benchmark Head-to-Head(2 benchmarks)
Gemini 3.8: 0GPT-4.1 Nano: 0
Gemini 3.8
GPT-4.1 Nano
Normalized 0-100%
Arena Elo
-1322
BigCodeBench
-28.4%
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Gemini 3.8 FlashEntry Level

Scores 40/100 (rank #233), placing it in the top 20% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-4.1 NanoEntry Level

Scores 42/100 (rank #230), placing it in the top 21% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 2-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Gemini 3.8 Flash when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-4.1 Nano when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
Gemini 3.8 Flash
Input cost$0.75/M tokens
Output cost$3.75/M tokens
Cost per quality point$0.113
Est. monthly (1M tokens/day)$67.50
GPT-4.1 NanoBest Value
Input cost$0.10/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.012
Est. monthly (1M tokens/day)$7.50

GPT-4.1 Nano offers 89% better value per quality point. At 1M tokens/day, you'd spend $7.50/month with GPT-4.1 Nano vs $67.50/month with Gemini 3.8 Flash - a $60.00 monthly difference.

Latency & Speed
Gemini 3.8 FlashFaster
Speed score0/100
GPT-4.1 Nano
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Gemini 3.8 Flash

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-4.1 Nano also offers lower per-token costs for high-volume support

Gemini 3.8 Flash

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Gemini 3.8 Flash

Batch data extraction

Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily

GPT-4.1 Nano

Creative writing & content

Higher overall composite score (42/100) correlates with better nuance, coherence, and style in long-form content

GPT-4.1 Nano

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Gemini 3.8 Flash
Which Should You Choose?
Our recommendation:
GPT-4.1 Nano

Gemini 3.8 Flash and GPT-4.1 Nano are extremely close in overall performance (only 2.1000000000000014 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale
GPT-4.1 Nano
Recommended

by OpenAI

  • Choose for Cost - 89% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.8 FlashGPT-4.1 Nano
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 3.8 Flash

Google

$5.85
estimated monthly cost

GPT-4.1 Nano

OpenAI

Best Value
$0.6600
estimated monthly cost

GPT-4.1 Nano saves you $5.19/month

That's 89% cheaper than Gemini 3.8 Flash at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGemini 3.8 FlashGPT-4.1 Nano
Context Window1.0M1.0M
Max Output Tokens65,53632,768
Open SourceNoNo
CreatedSep 2, 2026Apr 14, 2025
Last updated: 24m ago

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Gemini 3.8 Flash vs GPT-4.1 Nano (2026) | LM Market Cap