Claude Fable 5 vs DeepSeek V4-Pro
Anthropic's Claude Fable 5 and DeepSeek's DeepSeek V4-Pro both target production language workloads, but they price and behave differently. Here is the side-by-side.
Pricing checked against provider documentation on . How we verify
The short answer
DeepSeek V4-Pro is the cheaper option — roughly 20.2x less on a blended workload, and it suits frontier-adjacent reasoning at open-weight prices. Claude Fable 5 justifies its premium when you need long-horizon agentic engineering.
Anthropic • Claude 5
$10.00 / $50.00
/ 1M tokens (input / output)
Anthropic's most capable widely released model, built for agents that run for hours rather than seconds. Adaptive thinking is always on and cannot be disabled, which is part of why it tops the Artificial Analysis Intelligence Index — and why its cost per task runs roughly triple GPT-5.6 Sol's for a one-point intelligence lead.
DeepSeek • DeepSeek V4
$0.66 / $1.98
/ 1M tokens (input / output)
A 1.6T-parameter mixture-of-experts model with 49B active, released under MIT and callable through DeepSeek's own API with configurable reasoning effort. Since 16 August 2026 DeepSeek bills on a peak/off-peak schedule, so the hour you run a job changes the bill by exactly 2x — which makes it unusually well suited to scheduled batch work.
Input price
DeepSeek V4-Pro is 93% cheaper than Claude Fable 5 on input tokens.
Output price
DeepSeek V4-Pro is 96% cheaper than Claude Fable 5 on output tokens — usually the side that dominates the bill.
Monthly cost at three workload sizes
Standard (non-batch, non-cached) rates. Reasoning models will exceed these figures because thinking tokens bill as output.
| Workload | Claude Fable 5 | DeepSeek V4-Pro | Difference |
|---|---|---|---|
| Light — 1M in / 200K out | $20 | $1 | $19 |
| Moderate — 10M in / 2M out | $200 | $11 | $189 |
| Heavy — 100M in / 20M out | $2,000 | $106 | $1,894 |
Specification comparison
| Attribute | Claude Fable 5 | DeepSeek V4-Pro |
|---|---|---|
| Input (/ 1M tokens) | $10.00 | $0.66 |
| Output (/ 1M tokens) | $50.00 | $1.98 |
| Cached input | $1.00 | $0.02 |
| Context window | 1,000,000 tokens | 1,000,000 tokens |
| Max output | 128,000 tokens | 131,072 tokens |
| Native reasoning | Yes | Yes |
| Knowledge cutoff | 2026-01 | 2026-03 |
| Relative latency | high | medium |
| Open weights | No | MIT |
| API model ID | claude-fable-5 | deepseek-v4-pro |
| Status | stable | stable |
Claude Fable 5: 5-minute cache writes $12.50/MTok, 1-hour $20/MTok. Requires 30-day data retention, so not available under zero-data-retention terms.
DeepSeek V4-Pro: Off-peak rate shown. Peak rates are exactly double ($1.32 input / $3.96 output) during 01:00–04:00 and 06:00–10:00 UTC, Monday to Friday. Cache hits cost roughly 3% of a cache miss.
Choose Claude Fable 5 if…
- Multi-hour autonomous coding runs
- Large codebase migrations
- Hard scientific workflows
- High-stakes legal and medical analysis
Choose DeepSeek V4-Pro if…
- Overnight batch reasoning jobs
- Self-hosted deployments needing MIT terms
- Cost-sensitive coding agents
- Chinese-language workloads
Frequently asked
Is Claude Fable 5 or DeepSeek V4-Pro cheaper?
DeepSeek V4-Pro is cheaper. On a blended 3:1 input-to-output workload it costs about 20.2x less than Claude Fable 5.
Which has the larger context window, Claude Fable 5 or DeepSeek V4-Pro?
Both accept up to 1M tokens, so context is not a differentiator here.
Should I use Claude Fable 5 or DeepSeek V4-Pro?
Pick Claude Fable 5 for long-horizon agentic engineering. Pick DeepSeek V4-Pro for frontier-adjacent reasoning at open-weight prices. If cost dominates the decision, DeepSeek V4-Pro wins; if you need the capability ceiling, benchmark both on your own evals before committing.