// head_to_head
Claude Fable 5.2 vs Gemini 4 Hydrogen
Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.
Gemini 4 Hydrogen is the cheaper of the two; neither can be ranked on quality here.
Gemini 4 Hydrogen does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.
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Claude Fable 5.2
- Blended / 1M
- $16.00
- Context
- 1M
- Released
- Nov 9, 2026
- Overall score
- 84.9
Gemini 4 Hydrogen
- Blended / 1M
- $3.00
- Context
- 1.0M
- Released
- Nov 12, 2026
- Overall score
- Not evaluated
Specs and pricing
| Metric | Claude Fable 5.2 | Gemini 4 Hydrogen |
|---|---|---|
| LiveBench overall Weighted mean of the seven LiveBench category scores, 0–100. Higher is better. | 84.9 | — |
| Cost per point Measured benchmark spend divided by overall score — dollars per point of capability. | $0.0985 | — |
| Blended price / 1M 3:1 input:output mix, the usual shape of production traffic. | $16.00 | $3.00win |
| Input price / 1M | $8.00 | $1.50win |
| Output price / 1M | $40.00 | $7.50win |
| Cached input / 1M Price of an input token served from the prompt cache, where the provider publishes one. | $0.200 | $0.075win |
| Context window | 1M | 1.0M |
| Max output tokens | 128K | 944Kwin |
Benchmarks by category
An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Claude Fable 5.2 on top, Gemini 4 Hydrogen below, both out of 100.
What each one costs to run
Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.
| Workload | Claude Fable 5.2 | Gemini 4 Hydrogen |
|---|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $4,558/mo | $857.40/mo |
| RAG assistant 8K in / 600 out × 100K requests | $5,680/mo | $1,080/mo |
| Coding agent 40K in / 4K out × 20K requests | $5,232/mo | $1,002/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $10,610/mo | $1,991/mo |
| Bulk classification 500 in / 20 out × 5M requests | $20,100/mo | $3,787/mo |
Which should you pick?
You are cost-constrained
Gemini 4 Hydrogen
Cheaper on blended list price at $3.00 per million tokens.
Claude Fable 5.2 vs Gemini 4 Hydrogen FAQ
Which is better, Claude Fable 5.2 or Gemini 4 Hydrogen?
Gemini 4 Hydrogen is the cheaper of the two; neither can be ranked on quality here. Gemini 4 Hydrogen does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.
Is Claude Fable 5.2 cheaper than Gemini 4 Hydrogen?
Gemini 4 Hydrogen is cheaper. On a 3:1 input:output blend, Claude Fable 5.2 lists at $16.00 per million tokens and Gemini 4 Hydrogen at $3.00 — Gemini 4 Hydrogen is 5.3× cheaper. Input and output are priced separately — Claude Fable 5.2 charges $8.00 in and $40.00 out, Gemini 4 Hydrogen charges $1.50 and $7.50 — so the model that looks cheaper flips depending on how output-heavy your workload is.
Does Claude Fable 5.2 or Gemini 4 Hydrogen have a bigger context window?
They are effectively the same — 1M for Claude Fable 5.2 and 1.0M for Gemini 4 Hydrogen.
Do Claude Fable 5.2 and Gemini 4 Hydrogen support prompt caching?
Both publish a cached-input rate: $0.200 per million for Claude Fable 5.2 and $0.075 for Gemini 4 Hydrogen, against full input rates of $8.00 and $1.50. On a workload with a long stable prefix — a system prompt, a tool schema, a retrieved corpus — that changes the economics more than the headline price does.
Related comparisons
How these numbers are produced
- Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores — LiveBench release 2026-11-06, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
- “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.