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text model comparison

Claude Fable 5 vs GPT-Rosalind-6

Claude Fable 5 and GPT-Rosalind-6 are both current text models, from Anthropic and OpenAI. Claude Fable 5 is 33% cheaper per 1M input tokens than GPT-Rosalind-6, $10 vs $15.

Lower price per 1M input tokens
Claude Fable 5$10 against $15
Newer release
GPT-Rosalind-6Oct 2026 against Jun 2026

Data verified November 5, 2026 · Dataset 2026-11-05

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Side by side

Claude Fable 5 and GPT-Rosalind-6, line by line

Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.

FactClaude Fable 5GPT-Rosalind-6
Price
Price per 1M input tokens$10 (better)$15
Price per 1M output tokens$50 (better)$75
Independent benchmarks
Arena Text1504 Elo (#5 of 52)Not measured
Arena WebDev1624 Elo (#21 of 46)Not measured
GPQA Diamond85.9% (#35 of 41)Not measured
FrontierMath Tiers 1-3 (v2)87% (#9 of 41)Not measured
SimpleQA Verified70.7% (#7 of 38)Not measured
Specs
ProviderAnthropicOpenAI
Release dateJune 9, 2026October 30, 2026
AccessAPI onlylimited access
Context window1,000,000 tokensNot reported
Max output128,000 tokensNot reported
Inputtext, imagetext
Outputtexttext

No independent benchmark has scored both models yet. Each rank counts the current models scored on that benchmark.

Scores:Arena · 2026-11-03Epoch AI · 2026-11-03

Charts

Against every current text model

Where Claude Fable 5 and GPT-Rosalind-6 land among the current models of their task, on every independent benchmark, on price and on context.

Where each stands

Only Claude Fable 5 has a current Arena Text score: #5 of 52. Each bar is the share of current models it beats.

Claude Fable 5 and GPT-Rosalind-6 among the current text models, one row per benchmark, price and context window.

Independent benchmarks

Arena Text

Claude Fable 5:#5of 52

1,504 Elo · ahead of 90%

GPT-Rosalind-6: Not scored

Arena WebDev

Claude Fable 5:#21of 46

1,624 Elo · ahead of 56%

GPT-Rosalind-6: Not scored

GPQA Diamond

Claude Fable 5:#35of 41

85.9% · ahead of 15%

GPT-Rosalind-6: Not scored

FrontierMath Tiers 1-3 (v2)

Claude Fable 5:#9of 41

87% · ahead of 80%

GPT-Rosalind-6: Not scored

SimpleQA Verified

Claude Fable 5:#7of 38

70.7% · ahead of 84%

GPT-Rosalind-6: Not scored

Price and context

Price per 1M input tokens

Claude Fable 5:#51of 55

$10 · cheaper than 2%

GPT-Rosalind-6:#55of 55

$15 · cheaper than 0%

Price per 1M output tokens

Claude Fable 5:#51of 55

$50 · cheaper than 2%

GPT-Rosalind-6:#55of 55

$75 · cheaper than 0%

Context window

Claude Fable 5:#26of 64

1M tokens · longer than 22%

GPT-Rosalind-6: Not listed

Quality against price

Arena Text · measured October 28, 2026

Claude Fable 5 scores 1,504 at $20 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.

Quality against priceArena Text score against price for 44 text models, Claude Fable 5 and GPT-Rosalind-6 marked.1,2501,3001,3501,4001,4501,5001,550$0.30$1$3$10MOST ATTRACTIVE QUADRANTMedian price $3Median 1,476Blended price per 1M tokens (3 input : 1 output), log scaleArena Text (Elo)Claude Fable 5
Quality against price: the data
Arena Text score against price for 44 text models, Claude Fable 5 and GPT-Rosalind-6 marked.
ModelProviderBlended price per 1M tokensArena Text (Elo)
Gemini 4 CarbonGoogle$41,528
Gemini 4 ArgonGoogle$41,520
Claude Opus 5.5Anthropic$81,509
Muse WonderMeta$81,507
Claude Fable 5Anthropic$201,504
Claude Fable 5.1Anthropic$201,504
Gemini 3.8 FlashGoogle$1.501,496
Muse Spark 1.3Meta$21,495
Claude Opus 5Anthropic$101,492
Kimi K3Moonshot Kimi$61,488
GPT-5.6 SolOpenAI$81,485
Gemini 3.6 FlashGoogle$31,483
GPT-5.5OpenAI$111,482
Claude Opus 4.8Anthropic$101,482
Qwen3.8-MaxAlibaba Qwen$31,482
GPT-6.1 SolOpenAI$41,481
GLM-5.3Z.ai$2.151,481
MiMo-V2.6-ProXiaomi MiMo$0.541,480
Claude Sonnet 5.5Anthropic$41,477
GLM-5.3-FlashZ.ai$0.241,477
GPT-6 AstraOpenAI$201,476
DeepSeek-V4.1-FlashDeepSeek$0.521,476
GPT-5.4OpenAI$5.631,475
Gemini 3 Flash PreviewGoogle$1.131,473
Grok 4.20xAI$1.561,472
GPT-5.6 TerraOpenAI$4.501,467
Grok 4.5xAI$31,465
DeepSeek-V4-ProDeepSeek$1.981,465
Claude Sonnet 5Anthropic$41,462
GPT-6 SolOpenAI$41,458
Gemini 3.5 Flash-LiteGoogle$0.851,456
Grok 4.6xAI$31,455
GPT-5.6 LunaOpenAI$0.451,453
MiMo-V2.6-FlashXiaomi MiMo$0.181,448
Step 5 PreviewStepFun$1.431,448
Grok 4.3xAI$1.561,442
GPT-6 LunaOpenAI$0.201,441
Grok 4.7xAI$31,441
Mistral Large 4Mistral AI$1.051,432
Claude Haiku 5.5Anthropic$0.201,425
GPT-4.1OpenAI$3.501,415
Solar Pro 4Upstage$0.521,388
GPT-4.1 miniOpenAI$0.701,383
GPT-4.1 nanoOpenAI$0.181,322

Cost

What each costs

Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.

The same work, priced

For 10M input and 2M output tokens, GPT-Rosalind-6 costs 1.5 times as much as Claude Fable 5, at each provider's listed rates.

What Claude Fable 5 and GPT-Rosalind-6 cost for the same work, at the rates each provider lists.
  • 10M input and 2M output tokens

    GPT-Rosalind-6 costs 1.5× as much

    Claude Fable 5
    $200
    GPT-Rosalind-6
    $300
  • The same, with 9M of the input tokens cached

    GPT-Rosalind-6 costs 1.5× as much

    Claude Fable 5
    $119
    GPT-Rosalind-6
    $178.50
Workload or rateClaude Fable 5GPT-Rosalind-6
Example workloads
10M input and 2M output tokens$200 (better)$300
The same, with 9M of the input tokens cached$119 (better)$178.50
Other listed rates
1M input tokens, cached$1 (better)$1.50

Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.

Launch price $100, regular price $150

Book the cost audit

Verdict

When to choose each

Claude Fable 5

Where it leads

  • Lower input and output prices, $10 and $50 vs $15 and $75 per 1M tokens
  • Accepts image input
  • Cheaper cached input, $1 vs $1.50 per 1M tokens

Best for

  • Long-horizon coding, reasoning, and knowledge-work evaluations

Watch out for

  • Fable requires 30-day data retention, and classifier-triggered requests fall back to Claude Opus 4.8

GPT-Rosalind-6

Where it leads

No measured lead over Claude Fable 5 in this data.

Best for

  • Drug discovery and life sciences research teams approved for OpenAI's trusted access
  • Dual-use biology research that GPT-6 Astra is more likely to refuse

Watch out for

  • Limited access: OpenAI offers it only through its trusted-access program, after reviewing each applicant's intended use, security controls and governance, for internal research
  • OpenAI treats it as High capability in the biological and chemical domain, so access comes with security, monitoring and enforcement terms
  • OpenAI publishes no context window for it and compares it only with GPT-Rosalind-5.5; no independent benchmark score is recorded here yet

From benchmark to production

Building on Claude Fable 5 or GPT-Rosalind-6?

Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.

AI Model Cost AuditLaunch price $100, regular price $150What the audit includes

FAQ

Claude Fable 5 vs GPT-Rosalind-6 FAQ

Which is cheaper, Claude Fable 5 or GPT-Rosalind-6?

Claude Fable 5 is 33% cheaper per 1M input tokens than GPT-Rosalind-6, $10 vs $15. For 10M input and 2M output tokens, Claude Fable 5 costs $200 and GPT-Rosalind-6 $300 at standard rates.

Which is cheaper with prompt caching, Claude Fable 5 or GPT-Rosalind-6?

Claude Fable 5 charges $1 per 1M cached input tokens, 90% below its standard input rate, and GPT-Rosalind-6 $1.50, 90% below. With 9M of 10M input tokens cached and 2M output tokens, Claude Fable 5 costs $119 and GPT-Rosalind-6 $178.50.

How do Claude Fable 5 and GPT-Rosalind-6 differ in features?

Claude Fable 5 takes text and image input; GPT-Rosalind-6 takes text.

Production evaluation

Choosing between Claude Fable 5 and GPT-Rosalind-6?

Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • A head-to-head evaluation on your real workload
  • Routing between models by cost and difficulty