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Claude Sonnet 5 (batch) vs GPT-3.5 Turbo

vs
GPT-3.5 Turbo

OpenAI

40#362
Signal-by-Signal Comparison
SignalClaude Sonnet 5 (batch)DeltaGPT-3.5 Turbo
Capabilities
100
+50
50
Pricing
95
-3
99
Context window size
95
+28
67
Recency
100
+100
0
Output Capacity
85
+25
60
Overall Result
4 wins
of 5
1 wins
Claude Sonnet 5 (batch) wins 4 of 5 signals

Score History

Score History (25 data points)
Claude Sonnet 5 (batch)GPT-3.5 Turbo
Claude Sonnet 5 (batch)

40

current score

Leader

Tied

right now

GPT-3.5 Turbo

40

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-3.5 Turbo

OpenAI

Best Value
Per request$0.001250
Daily$4.17
Monthly$125.00
Annual$1500.00

GPT-3.5 Turbo saves you $225.00/month

That's $2700.00/year compared to Claude Sonnet 5 (batch) at your current usage level of 100K calls/month.

64% cheaper
Choose GPT-3.5 Turbo for cost optimization

Claude Sonnet 5 (batch) pricing:
Input:$1.00/M tokens
Output:$5.00/M tokens
GPT-3.5 Turbo pricing:
Input:$0.50/M tokens
Output:$1.50/M tokens
Tie
Claude Sonnet 5 (batch)

Anthropic

40

Composite Score

Tie
GPT-3.5 Turbo

OpenAI

40

Composite Score

Signal-by-Signal Comparison
MetricClaude Sonnet 5 (batch)GPT-3.5 TurboWinner
Overall Score
40
40
--
Rank#251#362
Claude Sonnet 5 (batch)
Quality Rank#251#362
Claude Sonnet 5 (batch)
Adoption Rank#251#362
Claude Sonnet 5 (batch)
Parameters------
Context Window1000K16K
Claude Sonnet 5 (batch)
Pricing$1.00/$5.00/M$0.50/$1.50/M--
Signal Scores
Capabilities
100
50
Claude Sonnet 5 (batch)
Pricing
95
99
GPT-3.5 Turbo
Context window size
95
67
Claude Sonnet 5 (batch)
Recency
100
0
Claude Sonnet 5 (batch)
Output Capacity
85
60
Claude Sonnet 5 (batch)
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-3.5 TurboEntry Level

Scores 40/100 (rank #362), placing it in the top -24% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-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:

  • Processing long documents or large codebases (1000K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-3.5 Turbo 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-3.5 TurboBest Value
Input cost$0.50/M tokens
Output cost$1.50/M tokens
Cost per quality point$0.050
Est. monthly (1M tokens/day)$30.00

GPT-3.5 Turbo offers 67% better value per quality point. At 1M tokens/day, you'd spend $30.00/month with GPT-3.5 Turbo vs $90.00/month with Claude Sonnet 5 (batch) - a $60.00 monthly difference.

Latency & Speed
Claude Sonnet 5 (batch)Faster
Speed score0/100
GPT-3.5 Turbo
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-3.5 Turbo also offers lower per-token costs for high-volume support

Claude Sonnet 5 (batch)

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Claude Sonnet 5 (batch)

Batch data extraction

Lower output pricing ($1.50/M) reduces costs when processing thousands of records daily

GPT-3.5 Turbo

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Claude Sonnet 5 (batch)

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:
Claude Sonnet 5 (batch)

Claude Sonnet 5 (batch) and GPT-3.5 Turbo are extremely close in overall performance (only 0 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

by OpenAI

  • Choose for Cost - 67% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Sonnet 5 (batch)GPT-3.5 Turbo
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
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-3.5 Turbo

OpenAI

Best Value
$2.70
estimated monthly cost

GPT-3.5 Turbo saves you $5.10/month

That's 65% 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-3.5 Turbo
Context Window1M16K
Max Output Tokens128,0004,096
Open SourceNoNo
CreatedJun 30, 2026May 28, 2023
Last updated: 3m ago

相关对比

Claude Sonnet 5 (batch) vs GPT-3.5 Turbo (2026) | LM Market Cap