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Claude Sonnet 5 (batch) vs GPT-4.1 Nano

vs
GPT-4.1 Nano

OpenAI

42#231
Signal-by-Signal Comparison
SignalClaude Sonnet 5 (batch)DeltaGPT-4.1 Nano
Capabilities
100
+17
83
Pricing
95
-5
100
Context window size
95
0
96
Recency
100
+55
45
Output Capacity
85
+10
75
Benchmarks
0
-44
44
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (25 data points)
Claude Sonnet 5 (batch)GPT-4.1 Nano
Claude Sonnet 5 (batch)

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)

Claude Sonnet 5 (batch)

Anthropic

Per request$0.003500
Daily$11.67
Monthly$350.00
Annual$4200.00

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 $320.00/month

That's $3840.00/year compared to Claude Sonnet 5 (batch) at your current usage level of 100K calls/month.

91% cheaper
Choose GPT-4.1 Nano for cost optimization

Claude Sonnet 5 (batch) pricing:
Input:$1.00/M tokens
Output:$5.00/M tokens
GPT-4.1 Nano pricing:
Input:$0.10/M tokens
Output:$0.40/M tokens
Claude Sonnet 5 (batch)

Anthropic

40

Composite Score

Winner
GPT-4.1 Nano

OpenAI

42

Composite Score

Signal-by-Signal Comparison
MetricClaude Sonnet 5 (batch)GPT-4.1 NanoWinner
Overall Score
40
42
GPT-4.1 Nano
Rank#251#231
GPT-4.1 Nano
Quality Rank#251#231
GPT-4.1 Nano
Adoption Rank#251#231
GPT-4.1 Nano
Parameters------
Context Window1000K1048K
GPT-4.1 Nano
Pricing$1.00/$5.00/M$0.10/$0.40/M--
Signal Scores
Capabilities
100
83
Claude Sonnet 5 (batch)
Pricing
95
100
GPT-4.1 Nano
Context window size
95
96
GPT-4.1 Nano
Recency
100
45
Claude Sonnet 5 (batch)
Output Capacity
85
75
Claude Sonnet 5 (batch)
Benchmarks--
44
GPT-4.1 Nano
Benchmark Head-to-Head(2 benchmarks)
Claude Sonnet: 0GPT-4.1 Nano: 0
Claude Sonnet
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.

Claude Sonnet 5 (batch)Entry Level

Scores 40/100 (rank #251), placing it in the top 14% of all 290 models tracked.

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

Scores 42/100 (rank #231), 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 Claude Sonnet 5 (batch) 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
Claude Sonnet 5 (batch)
Input cost$1.00/M tokens
Output cost$5.00/M tokens
Cost per quality point$0.150
Est. monthly (1M tokens/day)$90.00
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 92% better value per quality point. At 1M tokens/day, you'd spend $7.50/month with GPT-4.1 Nano vs $90.00/month with Claude Sonnet 5 (batch) - a $82.50 monthly difference.

Latency & Speed
Claude Sonnet 5 (batch)Faster
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

Claude Sonnet 5 (batch)

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

Claude Sonnet 5 (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 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

Claude Sonnet 5 (batch)
Which Should You Choose?
Our recommendation:
GPT-4.1 Nano

Claude Sonnet 5 (batch) 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 Anthropic

  • 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 - 92% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Sonnet 5 (batch)GPT-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)

Claude Sonnet 5 (batch)

Anthropic

$7.80
estimated monthly cost

GPT-4.1 Nano

OpenAI

Best Value
$0.6600
estimated monthly cost

GPT-4.1 Nano saves you $7.14/month

That's 92% cheaper than Claude Sonnet 5 (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
ParameterClaude Sonnet 5 (batch)GPT-4.1 Nano
Context Window1M1.0M
Max Output Tokens128,00032,768
Open SourceNoNo
CreatedJun 30, 2026Apr 14, 2025
Last updated: 3m ago

相关对比

Claude Sonnet 5 (batch) vs GPT-4.1 Nano (2026) | LM Market Cap