Claude Fable 5 vs GPT-4o mini

Anthropic · US  |  OpenAI · US · Updated June 2026

Quick verdict

Pick Claude Fable 5 for the hardest reasoning and most complex problems or long-horizon, multi-step agentic work. Pick GPT-4o mini for very low cost per token for its capability tier or strong coding for a small model (87.2% humaneval). On a tight budget at scale, GPT-4o mini is the value pick.

Claude Fable 5 (Anthropic) and GPT-4o mini (OpenAI) are two of the models people most often weigh against each other in 2026. Claude Fable 5 is anthropic's top public Mythos-class model and its most capable yet, though tier access was temporarily suspended in June 2026 under a US export-control directive. GPT-4o mini is openAI's budget small multimodal model — cheap, fast text-and-vision intelligence that outscored peer small models like Gemini 1.5 Flash and Claude 3 Haiku on MMLU and HumanEval at launch. They diverge most on price and context window — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecClaude Fable 5GPT-4o mini
ProviderAnthropic (US) OpenAI (US)
ReleasedJune 9, 2026 July 18, 2024
Context window1M (~1,500 pages) 128K (~192 pages)
Price (in/out)$10/$50 per 1M tokens $0.15/$0.6 per 1M tokens
Open weight?No — API only No — API only
Modalitiestext, image, code text, image
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published Not published

Who wins what

The hardest reasoning and most complex problems

Claude Fable 5

A core design strength of Claude Fable 5.

Long-horizon, multi-step agentic work

Claude Fable 5

A core design strength of Claude Fable 5.

Frontier-level analysis and research

Claude Fable 5

A core design strength of Claude Fable 5.

Very low cost per token for its capability tier

GPT-4o mini

A core design strength of GPT-4o mini.

Strong coding for a small model (87.2% HumanEval)

GPT-4o mini

A core design strength of GPT-4o mini.

Leading MMLU among peer small models (82%)

GPT-4o mini

A core design strength of GPT-4o mini.

Lowest cost at scale

GPT-4o mini

At $0.15/$0.6 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.

Largest single-prompt input

Claude Fable 5

Its 1M window is about 7.8× larger, fitting roughly 1,500 pages in one prompt.

Which should you pick?

A cost-sensitive startup shipping high volume

GPT-4o mini

At $0.15/$0.6 per 1M tokens it undercuts Claude Fable 5, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

Claude Fable 5

Larger 1M window fits more in one prompt.

Anyone whose priority is the hardest reasoning and most complex problems

Claude Fable 5

It is specifically built for that.

Anyone whose priority is very low cost per token for its capability tier

GPT-4o mini

That is its strongest area.

Claude Fable 5: where it fits

Anthropic's top public Mythos-class model and its most capable yet, though tier access was temporarily suspended in June 2026 under a US export-control directive. Released June 9, 2026 by Anthropic, it is built for the hardest reasoning and most complex problems, long-horizon, multi-step agentic work, frontier-level analysis and research, and work where maximum capability outweighs cost.

Its trade-offs are real: highest price in the Claude lineup, and tier access was temporarily suspended in June 2026 under a US export-control directive. At $10 in / $50 out per million tokens, it sits in the premium price band.

GPT-4o mini: where it fits

OpenAI's budget small multimodal model — cheap, fast text-and-vision intelligence that outscored peer small models like Gemini 1.5 Flash and Claude 3 Haiku on MMLU and HumanEval at launch. Released July 18, 2024 by OpenAI, it is built for very low cost per token for its capability tier, strong coding for a small model (87.2% HumanEval), leading MMLU among peer small models (82%), and text and image (vision) understanding in the API.

Its trade-offs: only 128K context with an October 2023 knowledge cutoff, and weaker on hard reasoning and coding than frontier models. At $0.15 in / $0.6 out per million tokens, it sits in the budget price band.

The bottom line for this matchup

Claude Fable 5 and GPT-4o mini overlap enough that the right pick depends on your specific job. GPT-4o mini costs less per token; Claude Fable 5 holds the larger context; and each leads in its own area — Claude Fable 5 for the hardest reasoning and most complex problems, GPT-4o mini for very low cost per token for its capability tier. Rather than crowning one, run the same hard task through both once and let the results decide.

Want both Claude Fable 5 and GPT-4o mini without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is Claude Fable 5 or GPT-4o mini better for coding?

Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Claude Fable 5 leans toward the hardest reasoning and most complex problems while GPT-4o mini leans toward very low cost per token for its capability tier, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Claude Fable 5 or GPT-4o mini?

GPT-4o mini is cheaper — $10/$50 per 1M tokens vs $0.15/$0.6 per 1M tokens, roughly 67× apart on input.

Which has the bigger context window?

Claude Fable 5 — 1M vs 128K, about 7.8× larger. Useful only if the model actually reasons over the full window, which not all do.

Can I use both Claude Fable 5 and GPT-4o mini together?

Yes — a multi-model platform like LumiChats gives you Claude Fable 5, GPT-4o mini and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, Claude Fable 5 or GPT-4o mini?

Claude Fable 5 — released June 9, 2026, about 23 months after GPT-4o mini.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.