Claude Fable 5 versus Gemini 4 Argon
Claude Fable 5 (Anthropic) and Gemini 4 Argon (Google DeepMind) compared point by point: measured performance, pricing, context and capabilities.
Data as of October 22, 2026
Side-by-side comparison
| Criterion | Claude Fable 5 | Gemini 4 Argon |
|---|---|---|
| Developer | Anthropic | Google DeepMind |
| Released | June 9, 2026 | October 13, 2026 |
| Capability index | 90.8 / 100 | 95.3 / 100 |
| Input price | $10 | $2 |
| Output price | $50 | $10 |
| Cost of a typical task | $0.30 | $0.06 |
| Context window | 1,000,000 tokens | 1,048,576 tokens |
| Maximum output | 50,000 tokens | 32,768 tokens |
| Reasoning mode | Yes | Yes |
| Tool calling | Yes | Yes |
| Accepted inputs | text, image, PDF | text, image, video, audio, PDF |
| Open weights | No | No |
| Knowledge cutoff | January 31, 2026 | March 2026 |
What are we comparing?
This comparison pits two frontier models, the ones you pick when quality comes first against each other: Claude Fable 5 and Gemini 4 Argon, one from Anthropic, the other from Google DeepMind. The first dates from June 9, 2026, the second from October 13, 2026.
All figures below come from public sources checked on October 22, 2026: models.dev and OpenRouter for prices and capabilities, Epoch AI for scores.
What the benchmarks say
On our capability index, Claude Fable 5 scores 90.8 out of 100 and Gemini 4 Argon 95.3. Gemini 4 Argon leads by 4.5 points.
On the 5 benchmarks reported for both, Claude Fable 5 wins 2 times and Gemini 4 Argon 2:
- GPQA Diamond (PhD-level science questions): Claude Fable 5 85.9%, Gemini 4 Argon 96.4%
- OTIS Mock AIME (competition mathematics problems): Claude Fable 5 100%, Gemini 4 Argon 100%
- FrontierMath (very hard research-level mathematics): Claude Fable 5 87%, Gemini 4 Argon 86%
- FrontierCode (advanced programming tasks): Claude Fable 5 53.5%, Gemini 4 Argon 47.6%
- APEX-Agents (professional tasks carried out by an agent): Claude Fable 5 63.6%, Gemini 4 Argon 82.4%
Pricing
Claude Fable 5 costs $10 per million input tokens and $50 per million output tokens; Gemini 4 Argon costs $2 and $10.
For a typical agent task (read 20,000 tokens, write 2,000), expect $0.30 with Claude Fable 5 versus $0.06 with Gemini 4 Argon. Gemini 4 Argon is 5 times cheaper, a gap that adds up quickly over 1,000 tasks: $240 difference.
Run the numbers with your own volumes in the agent cost calculator.
Features and limits
Gemini 4 Argon reads more in one go: 1,048,576 tokens of context (roughly 1,573 pages), versus 1,000,000 for Claude Fable 5.
Reasoning mode: Claude Fable 5 yes, Gemini 4 Argon yes. Tool calling: Claude Fable 5 yes, Gemini 4 Argon yes. Image input: Claude Fable 5 yes, Gemini 4 Argon yes.
Neither publishes its weights: both are used through an API.
Knowledge cutoff: January 31, 2026 for Claude Fable 5, March 2026 for Gemini 4 Argon.
In short
Our reading of the data:
- Choose Gemini 4 Argon for a higher capability index, a lower cost and a more recent release.
This verdict relies on public figures; it does not replace a trial on your own tasks.
Other comparisons
Frequently asked questions
Claude Fable 5 or Gemini 4 Argon: which is better?
On our index (Epoch AI data), Claude Fable 5 scores 90.8 and Gemini 4 Argon 95.3 out of 100. The best choice also depends on price and on your use case.
Which one is cheaper?
Gemini 4 Argon. To read 20,000 tokens and write 2,000, expect $0.30 with Claude Fable 5 and $0.06 with Gemini 4 Argon (prices as of October 22, 2026).
Which one has the larger context window?
Gemini 4 Argon, with 1,048,576 tokens versus 1,000,000.
Can I run Claude Fable 5 or Gemini 4 Argon on my own servers?
No: both are closed models, available through an API.
Data sources
- Models.dev — Model data: models.dev (open-source project)
- OpenRouter — Market prices cross-checked with OpenRouter
- Epoch AI — AI Benchmarking Hub — Epoch AI, “AI Benchmarking Hub”, epoch.ai, CC BY 4.0
Data as of October 22, 2026
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