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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. Anthropic: Claude Fable Latest vs OpenAI: o1

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Anthropic: Claude Fable Latest vs OpenAI: o1 benchmark

In this head-to-head showdown, Anthropic: Claude Fable Latest is more budget-friendly at $50/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both Anthropic: Claude Fable Latest and OpenAI: o1 present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

Anthropic: Claude Fable Latest holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
OpenAI: o1Top code solve rate
ReasoningGPQA / Live
OpenAI: o1Top logical accuracy
Best Value$/1M Tok
Anthropic: Claude Fable LatestLowest API billing cost
Speed / TokTok/Sec
OpenAI: o1Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Anthropic: Claude Fable Latest (3)OpenAI: o1 (0)
Anthropic: Claude Fable Latest
3 of 3 Wins
✓Input price✓Output price✓Context window
OpenAI: o1
0 of 3 Wins
Competitive baseline across remaining benchmarks
~anthropic
Leads 3 of 3
Anthropic: Claude Fable Latest

Auto-discovered from OpenRouter (~anthropic/claude-fable-latest). Preview until a second source matches.

In: $10 · Out: $50/1M
OpenAI
OpenAI: o1

Auto-discovered from OpenRouter (openai/o1). Preview until a second source matches.

Elo 1,512In: $15 · Out: $60/1M

OpenAI: o1 Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Delay
420 ms
Standard
CoT Tokens
~1,500
Internal reasoning
Cost / 1k
$115.50
4.5× base bill
Accuracy Boost
+4.5%
STEM & Logic
Top Rival Showdowns for Anthropic: Claude Fable Latest
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderAnthropic: Claude Fable Latest Wins

Anthropic: Claude Fable Latest

$50 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Anthropic: Claude Fable Latest (3)vsOpenAI: o1 (7)
Anthropic: Claude Fable Latest: 3W (30%)Overall: OpenAI: o1OpenAI: o1: 7W (70%)
← Anthropic: Claude Fable LatestOpenAI: o1 →
🏆OpenAI: o1 Leads(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
Anthropic: Claude Fable LatestvsOpenAI: o1
Preference Elo
—vs1,512
Coding Elo
—vs1,485
SWE-bench
—vs48.9%
LiveBench
—vs65.4%
GPQA Diamond
—vs78%
Anthropic: Claude Fable Latest: 0WOpenAI: o1: 5W
🏆OpenAI: o1 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Anthropic: Claude Fable LatestvsOpenAI: o1
Output speed
—vs45 tok/s
Time to first token
—vs420 ms
Anthropic: Claude Fable Latest: 0WOpenAI: o1: 2W
🏆Anthropic: Claude Fable Latest Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Anthropic: Claude Fable LatestvsOpenAI: o1
Output price
$50/1Mvs$60/1M+$10/1M
Input price
$10/1Mvs$15/1M+$5/1M
Context window
1Mvs200k+800k
Anthropic: Claude Fable Latest: 3WOpenAI: o1: 0W

Side-by-Side Benchmark Matrix

Anthropic: Claude Fable LatestOpenAI: o1
Preference Elo
Anthropic: Claude Fable Latest—
OpenAI: o11,512
Coding Elo
Anthropic: Claude Fable Latest—
OpenAI: o11,485
LiveBench
Anthropic: Claude Fable Latest—
OpenAI: o165.4%
SWE-bench
Anthropic: Claude Fable Latest—
OpenAI: o148.9%
GPQA Diamond
Anthropic: Claude Fable Latest—
OpenAI: o178%
Time to first token
Anthropic: Claude Fable Latest—
OpenAI: o1420 ms
Output speed
Anthropic: Claude Fable Latest—
OpenAI: o145 tok/s
Input priceAnthropic: Claude Fable Latest +$5/1M
Anthropic: Claude Fable Latest$10/1M
OpenAI: o1$15/1M
Output priceAnthropic: Claude Fable Latest +$10/1M
Anthropic: Claude Fable Latest$50/1M
OpenAI: o1$60/1M
Context windowAnthropic: Claude Fable Latest +800k
Anthropic: Claude Fable Latest1M
OpenAI: o1200k
BenchmarkAnthropic: Claude Fable LatestOpenAI: o1Advantage Delta
Preference Elo—
1,512
lmarena · Aug 17, 2026
—
Coding Elo—
1,485
lmarena · Aug 17, 2026
—
LiveBench—
65.4%
livebench · Aug 17, 2026
—
SWE-bench—
48.9%
swebench · Aug 17, 2026
—
GPQA Diamond—
78%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
420 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
45 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$10/1M
openrouter · Aug 17, 2026
$15/1M
openrouter · Aug 17, 2026
+$5/1M
Output price
$50/1M
openrouter · Aug 17, 2026
$60/1M
openrouter · Aug 17, 2026
+$10/1M
Context window
1M
openrouter · Aug 17, 2026
200k
openrouter · Aug 17, 2026
+800k

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 23% with Anthropic: Claude Fable Latest
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Anthropic: Claude Fable Latest$1,100.00 / mo
In: $350Out: $750
OpenAI: o1$1,425.00 / mo
In: $525Out: $900
Estimated Cost Delta

Anthropic: Claude Fable Latest is estimated to save $325.00/month ($3,900/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Anthropic: Claude Fable Latest:Pick Anthropic: Claude Fable Latest when you are optimizing output cost.
  • 2
    Anthropic: Claude Fable Latest:Pick Anthropic: Claude Fable Latest for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAnthropic: Claude Fable Latest

Lower output list price ($50/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAnthropic: Claude Fable Latest

Larger window (1M).

Screenshots / visionOpenAI: o1

OpenAI: o1 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatAnthropic: Claude Fable LatestLower output list price ($50/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGAnthropic: Claude Fable LatestLarger window (1M).
Screenshots / visionOpenAI: o1OpenAI: o1 is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
~anthropic

Anthropic: Claude Fable Latest

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$10/1M
Output / 1M Tokens$50/1M
OpenAI

OpenAI: o1

Elo 1,512
SWE-bench48.9%
Speed (tok/s)45 tok/s
Input / 1M Tokens$15/1M
Output / 1M Tokens$60/1M

Frequently Asked Questions

Which is better overall, Anthropic: Claude Fable Latest or OpenAI: o1?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Anthropic: Claude Fable Latest or OpenAI: o1?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
Anthropic: Claude Fable Latest output tokens are $50/1M versus $60/1M. Input prices and retry rates still move the real bill.
Which is faster, Anthropic: Claude Fable Latest or OpenAI: o1?
We do not have TTFT for both models.
Which has the larger context window?
Anthropic: Claude Fable Latest accepts 1M tokens versus 200k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Anthropic: Claude Fable Latest and OpenAI: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Anthropic: Claude Fable Latest matchups →|All OpenAI: o1 matchups →
OpenAI: o1 vs GPT-4o (previous gpt-flagship)OpenAI: o1 vs GPT-4.5 Orion (next gpt-flagship)GPT-5 vs OpenAI: o1GPT-5.6 Sol vs OpenAI: o1GPT-5.6 Terra vs OpenAI: o1GPT-5 mini vs OpenAI: o1