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Claude Fable 5 (batch) vs GPT-5.2 (batch)

vs
GPT-5.2 (batch)

OpenAI

91#28
Signal-by-Signal Comparison
SignalClaude Fable 5 (batch)DeltaGPT-5.2 (batch)
Capabilities
100
--
100
Benchmarks
85
-4
89
Pricing
75
-18
93
Context window size
95
+6
89
Recency
100
+20
81
Output Capacity
82
--
82
Overall Result
2 wins
of 6
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (8 data points)
Claude Fable 5 (batch)GPT-5.2 (batch)
Claude Fable 5 (batch)

95.9

current score

Leader

Claude Fable 5 (batch)

right now

GPT-5.2 (batch)

90.5

current score

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

Claude Fable 5 (batch)

Anthropic

Per request$0.017500
Daily$58.33
Monthly$1750.00
Annual$21000.00

GPT-5.2 (batch)

OpenAI

Best Value
Per request$0.004375
Daily$14.58
Monthly$437.50
Annual$5250.00

GPT-5.2 (batch) saves you $1312.50/month

That's $15750.00/year compared to Claude Fable 5 (batch) at your current usage level of 100K calls/month.

75% cheaper
Choose GPT-5.2 (batch) for cost optimization

Claude Fable 5 (batch) pricing:
Input:$5.00/M tokens
Output:$25.00/M tokens
GPT-5.2 (batch) pricing:
Input:$0.88/M tokens
Output:$7.00/M tokens
Winner
Claude Fable 5 (batch)

Anthropic

96

Composite Score

GPT-5.2 (batch)

OpenAI

91

Composite Score

Signal-by-Signal Comparison
MetricClaude Fable 5 (batch)GPT-5.2 (batch)Winner
Overall Score
96
91
Claude Fable 5 (batch)
Rank#4#28
Claude Fable 5 (batch)
Quality Rank#4#28
Claude Fable 5 (batch)
Adoption Rank#4#28
Claude Fable 5 (batch)
Parameters------
Context Window1000K400K
Claude Fable 5 (batch)
Pricing$5.00/$25.00/M$0.88/$7.00/M--
Signal Scores
Capabilities
100
100
Claude Fable 5 (batch)
Benchmarks
85
89
GPT-5.2 (batch)
Pricing
75
93
GPT-5.2 (batch)
Context window size
95
89
Claude Fable 5 (batch)
Recency
100
81
Claude Fable 5 (batch)
Output Capacity
82
82
Claude Fable 5 (batch)
Benchmark Head-to-Head(11 benchmarks)
Claude Fable: 3GPT-5.2 (batch): 0
Claude Fable
GPT-5.2 (batch)
Normalized 0-100%
MMLU
-93.5%
MMLU-Pro
-86%
GPQA Diamond
94.1%87%
MATH-500
-94%
HumanEval
-97%
SWE-bench Verified
95%78%
IFEval
-93%
BBH
-91.5%
Arena Elo
-1481
LiveBench
-77.5%
HLE
59%37%
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 Fable 5 (batch)Elite Tier

Scores 96/100 (rank #4), placing it in the top 99% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.2 (batch)Elite Tier

Scores 91/100 (rank #28), placing it in the top 91% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Claude Fable 5 (batch) has a 5-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Claude Fable 5 (batch) when you need:

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

Choose GPT-5.2 (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Claude Fable 5 (batch)
Input cost$5.00/M tokens
Output cost$25.00/M tokens
Cost per quality point$0.313
Est. monthly (1M tokens/day)$450.00
GPT-5.2 (batch)Best Value
Input cost$0.88/M tokens
Output cost$7.00/M tokens
Cost per quality point$0.087
Est. monthly (1M tokens/day)$118.13

GPT-5.2 (batch) offers 74% better value per quality point. At 1M tokens/day, you'd spend $118.13/month with GPT-5.2 (batch) vs $450.00/month with Claude Fable 5 (batch) - a $331.88 monthly difference.

Latency & Speed
Claude Fable 5 (batch)Faster
Speed score0/100
GPT-5.2 (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

Claude Fable 5 (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-5.2 (batch) also offers lower per-token costs for high-volume support

Claude Fable 5 (batch)

Long document analysis

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

Claude Fable 5 (batch)

Batch data extraction

Lower output pricing ($7.00/M) reduces costs when processing thousands of records daily

GPT-5.2 (batch)

Creative writing & content

Higher overall composite score (96/100) correlates with better nuance, coherence, and style in long-form content

Claude Fable 5 (batch)

Image understanding & OCR

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

Claude Fable 5 (batch)
Which Should You Choose?
Our recommendation:
Claude Fable 5 (batch)

Claude Fable 5 (batch) has a moderate advantage with a 5.400000000000006-point lead in composite score. It wins on more signal dimensions, but GPT-5.2 (batch) has specific strengths that could make it the better choice for certain workflows.

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 - 74% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Fable 5 (batch)GPT-5.2 (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)

Claude Fable 5 (batch)

Anthropic

$39.00
estimated monthly cost

GPT-5.2 (batch)

OpenAI

Best Value
$9.97
estimated monthly cost

GPT-5.2 (batch) saves you $29.02/month

That's 74% cheaper than Claude Fable 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 Fable 5 (batch)GPT-5.2 (batch)
Context Window1M400K
Max Output Tokens128,000128,000
Open SourceNoNo
CreatedJun 9, 2026Dec 10, 2025
Last updated: 25m ago

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