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GPT-4.1 Nano (batch) vs GPT-4 Turbo (batch)

vs
Signal-by-Signal Comparison
SignalGPT-4.1 Nano (batch)DeltaGPT-4 Turbo (batch)
Capabilities
83
--
83
Benchmarks
70
+10
61
Pricing
100
+15
85
Context window size
96
+14
81
Recency
33
+33
0
Output Capacity
72
+15
58
Overall Result
5 wins
of 6
0 wins
GPT-4.1 Nano (batch) wins 5 of 6 signals

Score History

Score History (10 data points)
GPT-4.1 Nano (batch)GPT-4 Turbo (batch)
GPT-4.1 Nano (batch)

58.9

current score

Leader

GPT-4.1 Nano (batch)

right now

GPT-4 Turbo (batch)

57.2

current score

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

GPT-4.1 Nano (batch)

OpenAI

Best Value
Per request$0.000150
Daily$0.50
Monthly$15.00
Annual$180.00

GPT-4 Turbo (batch)

OpenAI

Per request$0.012500
Daily$41.67
Monthly$1250.00
Annual$15000.00

GPT-4.1 Nano (batch) saves you $1235.00/month

That's $14820.00/year compared to GPT-4 Turbo (batch) at your current usage level of 100K calls/month.

99% cheaper
Choose GPT-4.1 Nano (batch) for cost optimization

GPT-4.1 Nano (batch) pricing:
Input:$0.05/M tokens
Output:$0.20/M tokens
GPT-4 Turbo (batch) pricing:
Input:$5.00/M tokens
Output:$15.00/M tokens
Winner
GPT-4.1 Nano (batch)

OpenAI

59

Composite Score

GPT-4 Turbo (batch)

OpenAI

57

Composite Score

Signal-by-Signal Comparison
MetricGPT-4.1 Nano (batch)GPT-4 Turbo (batch)Winner
Overall Score
59
57
GPT-4.1 Nano (batch)
Rank#175#177
GPT-4.1 Nano (batch)
Quality Rank#175#177
GPT-4.1 Nano (batch)
Adoption Rank#175#177
GPT-4.1 Nano (batch)
Parameters------
Context Window1048K128K
GPT-4.1 Nano (batch)
Pricing$0.05/$0.20/M$5.00/$15.00/M--
Signal Scores
Capabilities
83
83
GPT-4.1 Nano (batch)
Benchmarks
70
61
GPT-4.1 Nano (batch)
Pricing
100
85
GPT-4.1 Nano (batch)
Context window size
96
81
GPT-4.1 Nano (batch)
Recency
33
0
GPT-4.1 Nano (batch)
Output Capacity
72
58
GPT-4.1 Nano (batch)
Benchmark Head-to-Head(14 benchmarks)
GPT-4.1 Nano: 8GPT-4 Turbo: 1
GPT-4.1 Nano
GPT-4 Turbo
Normalized 0-100%
MMLU
89.2%86.5%
MMLU-Pro
81.8%63.7%
GPQA Diamond
56%48%
MATH-500
78.5%72.6%
HumanEval
91.5%87.1%
SWE-bench Verified
54.6%-
GSM8K
-94.2%
IFEval
88.2%-
BBH
84%83.1%
HellaSwag
-95.1%
Arena Elo
13001255
LiveBench
64.5%37.3%
HLE
5.4%-
BigCodeBench
31.8%48.2%
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.

GPT-4.1 Nano (batch)Competitive

Scores 59/100 (rank #175), placing it in the top 40% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-4 Turbo (batch)Competitive

Scores 57/100 (rank #177), placing it in the top 39% 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 GPT-4.1 Nano (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1048K token context)

Choose GPT-4 Turbo (batch) when you need:

  • Budget-friendly applications with moderate quality requirements
Cost-Performance Analysis
GPT-4.1 Nano (batch)Best Value
Input cost$0.05/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.004
Est. monthly (1M tokens/day)$3.75
GPT-4 Turbo (batch)
Input cost$5.00/M tokens
Output cost$15.00/M tokens
Cost per quality point$0.350
Est. monthly (1M tokens/day)$300.00

GPT-4.1 Nano (batch) offers 99% better value per quality point. At 1M tokens/day, you'd spend $3.75/month with GPT-4.1 Nano (batch) vs $300.00/month with GPT-4 Turbo (batch) - a $296.25 monthly difference.

Latency & Speed
GPT-4.1 Nano (batch)Faster
Speed score0/100
GPT-4 Turbo (batch)
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

GPT-4.1 Nano (batch)

Customer support chatbot

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

GPT-4.1 Nano (batch)

Long document analysis

Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-4.1 Nano (batch)

Batch data extraction

Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily

GPT-4.1 Nano (batch)

Creative writing & content

Higher overall composite score (59/100) correlates with better nuance, coherence, and style in long-form content

GPT-4.1 Nano (batch)

Image understanding & OCR

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

GPT-4.1 Nano (batch)
Which Should You Choose?
Our recommendation:
GPT-4.1 Nano (batch)

GPT-4.1 Nano (batch) and GPT-4 Turbo (batch) are extremely close in overall performance (only 1.6999999999999957 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 99% lower pricing; better value at scale
  • 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

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-4.1 Nano (batch)GPT-4 Turbo (batch)
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4.1 Nano (batch)

OpenAI

Best Value
$0.3300
estimated monthly cost

GPT-4 Turbo (batch)

OpenAI

$27.00
estimated monthly cost

GPT-4.1 Nano (batch) saves you $26.67/month

That's 99% cheaper than GPT-4 Turbo (batch) 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
ParameterGPT-4.1 Nano (batch)GPT-4 Turbo (batch)
Context Window1.0M128K
Max Output Tokens32,7684,096
Open SourceNoNo
CreatedApr 14, 2025Apr 9, 2024
Last updated: 41m ago

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