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GPT-3.5 Turbo 16k vs GPT-3.5 Turbo (batch)

GPT-3.5 Turbo 16k

OpenAI

40#361
vs
Signal-by-Signal Comparison
SignalGPT-3.5 Turbo 16kDeltaGPT-3.5 Turbo (batch)
Capabilities
50
-17
67
Pricing
96
-3
99
Context window size
67
--
67
Recency
0
--
0
Output Capacity
60
--
60
Overall Result
0 wins
of 5
2 wins
GPT-3.5 Turbo (batch) wins 2 of 5 signals

Score History

Score History (25 data points)
GPT-3.5 Turbo 16kGPT-3.5 Turbo (batch)
GPT-3.5 Turbo 16k

40

current score

Leader

Tied

right now

GPT-3.5 Turbo (batch)

40

current score

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

GPT-3.5 Turbo 16k

OpenAI

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

GPT-3.5 Turbo (batch)

OpenAI

Best Value
Per request$0.000625
Daily$2.08
Monthly$62.50
Annual$750.00

GPT-3.5 Turbo (batch) saves you $437.50/month

That's $5250.00/year compared to GPT-3.5 Turbo 16k at your current usage level of 100K calls/month.

88% cheaper
Choose GPT-3.5 Turbo (batch) for cost optimization

GPT-3.5 Turbo 16k pricing:
Input:$3.00/M tokens
Output:$4.00/M tokens
GPT-3.5 Turbo (batch) pricing:
Input:$0.25/M tokens
Output:$0.75/M tokens
Tie
GPT-3.5 Turbo 16k

OpenAI

40

Composite Score

Tie
GPT-3.5 Turbo (batch)

OpenAI

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-3.5 Turbo 16kGPT-3.5 Turbo (batch)Winner
Overall Score
40
40
--
Rank#361#363
GPT-3.5 Turbo 16k
Quality Rank#361#363
GPT-3.5 Turbo 16k
Adoption Rank#361#363
GPT-3.5 Turbo 16k
Parameters------
Context Window16K16K--
Pricing$3.00/$4.00/M$0.25/$0.75/M--
Signal Scores
Capabilities
50
67
GPT-3.5 Turbo (batch)
Pricing
96
99
GPT-3.5 Turbo (batch)
Context window size
67
67
GPT-3.5 Turbo 16k
Recency
0
0
GPT-3.5 Turbo 16k
Output Capacity
60
60
GPT-3.5 Turbo 16k
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-3.5 Turbo 16kEntry Level

Scores 40/100 (rank #361), placing it in the top -24% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-3.5 Turbo (batch)Entry Level

Scores 40/100 (rank #363), placing it in the top -25% 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 GPT-3.5 Turbo 16k when you need:

  • Budget-friendly applications with moderate quality requirements

Choose GPT-3.5 Turbo (batch) when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
GPT-3.5 Turbo 16k
Input cost$3.00/M tokens
Output cost$4.00/M tokens
Cost per quality point$0.175
Est. monthly (1M tokens/day)$105.00
GPT-3.5 Turbo (batch)Best Value
Input cost$0.25/M tokens
Output cost$0.75/M tokens
Cost per quality point$0.025
Est. monthly (1M tokens/day)$15.00

GPT-3.5 Turbo (batch) offers 86% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with GPT-3.5 Turbo (batch) vs $105.00/month with GPT-3.5 Turbo 16k - a $90.00 monthly difference.

Latency & Speed
GPT-3.5 Turbo 16kFaster
Speed score0/100
GPT-3.5 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-3.5 Turbo 16k

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-3.5 Turbo (batch) also offers lower per-token costs for high-volume support

GPT-3.5 Turbo 16k

Long document analysis

Larger context window (16K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-3.5 Turbo 16k

Batch data extraction

Lower output pricing ($0.75/M) reduces costs when processing thousands of records daily

GPT-3.5 Turbo (batch)

Creative writing & content

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

GPT-3.5 Turbo 16k
Which Should You Choose?
Our recommendation:
GPT-3.5 Turbo 16k

GPT-3.5 Turbo 16k and GPT-3.5 Turbo (batch) 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 OpenAI

  • 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 - 86% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-3.5 Turbo 16kGPT-3.5 Turbo (batch)
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-3.5 Turbo 16k

OpenAI

$10.20
estimated monthly cost

GPT-3.5 Turbo (batch)

OpenAI

Best Value
$1.35
estimated monthly cost

GPT-3.5 Turbo (batch) saves you $8.85/month

That's 87% cheaper than GPT-3.5 Turbo 16k 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-3.5 Turbo 16kGPT-3.5 Turbo (batch)
Context Window16K16K
Max Output Tokens4,0964,096
Open SourceNoNo
CreatedAug 28, 2023May 28, 2023
Last updated: 37m ago

相关对比

GPT-3.5 Turbo 16k vs GPT-3.5 Turbo (batch) (2026) | LM Market Cap