Claude Fable 5 vs Claude Opus 4.6

Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.

Claude Opus 4.6 by Anthropic wins on 4 of 7 benchmarks against Claude Fable 5 by Anthropic, which leads on 3. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from the AI Value Index.

Category-by-Category Breakdown

Coding: In coding, Claude Fable 5 scores 95.0% on SWE-bench Verified compared to Claude Opus 4.6's 80.8%.

Reasoning: In reasoning, Claude Fable 5 scores 92.6% on GPQA Diamond compared to Claude Opus 4.6's 91.3%.

Context: In context, Claude Fable 5 scores 1.0M on Context Length compared to Claude Opus 4.6's 200K.

Pricing Comparison

Claude Fable 5 costs $10.0/1M input tokens and $50.0/1M output tokens, while Claude Opus 4.6 costs $5.0/1M input and $25.0/1M output. Claude Opus 4.6 is the more affordable option for API usage.

Speed Comparison

Claude Fable 5 generates output at 60 tok/s compared to Claude Opus 4.6's 68 tok/s, and the time to first token is 81680 ms for Claude Fable 5 versus 1680 ms for Claude Opus 4.6. Claude Opus 4.6 delivers faster throughput.

Verdict

For developers prioritizing coding, Claude Fable 5 has the edge. For those who value affordability and speed, Claude Opus 4.6 is the stronger choice.

Models:Claude Fable 5Claude Opus 4.6

Chatbot Arena ELO(ELO)

Human preference ELO from blind head-to-head votes

Higher is better

1496

MMLU-Pro(%)

Massive Multitask Language Understanding professional benchmark

Higher is better

82.0%

HumanEval+(%)

Code generation correctness with extended tests

Higher is better

93.5%

IFEval(%)

Strict instruction following accuracy on verifiable constraints

Higher is better

91.0%

MATH(%)

Competition mathematics problem solving

Higher is better

92.0%

SWE-bench Verified(%)

Real-world software engineering task resolution

Higher is better

95.0%80.8%

GPQA Diamond(%)

Graduate-level science Q&A by domain experts

Higher is better

92.6%91.3%

Output Speed(tok/s)

Tokens generated per second

Higher is better

6068

Time to First Token(ms)

Latency before first token arrives

Lower is better

816801680

LiveCodeBench(%)

Live competitive programming benchmark

Higher is better

72.0%

Input Cost($/1M)

Cost per 1M input tokens

Lower is better

$10.0$5.0

Aider Polyglot(%)

Multi-language code editing accuracy with real git repos

Higher is better

75.0%

Output Cost($/1M)

Cost per 1M output tokens

Lower is better

$50.0$25.0

BFCL(%)

Berkeley Function Calling Leaderboard — tool use accuracy

Higher is better

70.4%

GSM8K(%)

Grade school math word problems

Higher is better

97.0%

AIME 2025(%)

American Invitational Mathematics Examination — competition math

Higher is better

100.0%

ARC-AGI(%)

Abstraction and Reasoning Corpus for general intelligence

Higher is better

60.0%

Context Length(tokens)

Maximum context window size

Higher is better

1.0M200K

View Individual Model Pages

Claude Fable 5 Details Claude Opus 4.6 Details

Claude Fable 5 vs Claude Opus 4.6 — FAQ

Which is better, Claude Fable 5 or Claude Opus 4.6?

Claude Opus 4.6 wins on more benchmarks overall (4 vs 3). However, the best choice depends on your specific needs — each model excels in different areas.

How does Claude Fable 5 compare to Claude Opus 4.6 for coding?

Claude Fable 5 is better for coding, scoring 95.0% on SWE-bench Verified compared to 80.8%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.

Is Claude Fable 5 cheaper than Claude Opus 4.6?

Yes, Claude Opus 4.6 is cheaper. Claude Fable 5 costs $10.0/1M input and $50.0/1M output tokens. Claude Opus 4.6 costs $5.0/1M input and $25.0/1M output tokens.

Which is faster, Claude Fable 5 or Claude Opus 4.6?

Claude Opus 4.6 is faster, generating output at 68 tok/s compared to 60 tok/s. Faster output speed means shorter wait times for API responses.

What benchmarks does the Claude Fable 5 vs Claude Opus 4.6 comparison cover?

This comparison covers 7 benchmarks including SWE-bench Verified, GPQA Diamond, Output Speed, Time to First Token, Input Cost, Output Cost, Context Length. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.