Claude Fable 5 vs DeepSeek V4-Flash
Anthropic's Claude Fable 5 and DeepSeek's DeepSeek V4-Flash 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-Flash is the cheaper option — roughly 60.6x less on a blended workload, and it suits the cheapest capable open-weight option. 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
$0.22 / $0.66
/ 1M tokens (input / output)
A 284B-parameter MoE with only 13B active, which is why it runs fast and prices low. Notable for a 384K maximum output — far beyond the 128K most frontier models cap at — and for supporting both thinking and non-thinking modes, so you can switch reasoning off on easy requests rather than paying for it.
Input price
DeepSeek V4-Flash is 98% cheaper than Claude Fable 5 on input tokens.
Output price
DeepSeek V4-Flash is 99% 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-Flash | Difference |
|---|---|---|---|
| Light — 1M in / 200K out | $20 | $0 | $20 |
| Moderate — 10M in / 2M out | $200 | $4 | $196 |
| Heavy — 100M in / 20M out | $2,000 | $35 | $1,965 |
Specification comparison
| Attribute | Claude Fable 5 | DeepSeek V4-Flash |
|---|---|---|
| Input (/ 1M tokens) | $10.00 | $0.22 |
| Output (/ 1M tokens) | $50.00 | $0.66 |
| Cached input | $1.00 | $0.01 |
| Context window | 1,000,000 tokens | 1,000,000 tokens |
| Max output | 128,000 tokens | 384,000 tokens |
| Native reasoning | Yes | Yes |
| Knowledge cutoff | 2026-01 | 2026-03 |
| Relative latency | high | low |
| Open weights | No | MIT |
| API model ID | claude-fable-5 | deepseek-v4-flash |
| 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-Flash: Off-peak rate shown. Peak rates double ($0.44 / $1.32) during 01:00–04:00 and 06:00–10:00 UTC on weekdays. Superseded the earlier flat-rate pricing of $0.14 / $0.28 that many comparison sites still quote.
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-Flash if…
- High-volume classification and extraction
- Very long generated outputs
- Budget coding agents
- Local deployment on modest hardware
Frequently asked
Is Claude Fable 5 or DeepSeek V4-Flash cheaper?
DeepSeek V4-Flash is cheaper. On a blended 3:1 input-to-output workload it costs about 60.6x less than Claude Fable 5.
Which has the larger context window, Claude Fable 5 or DeepSeek V4-Flash?
Both accept up to 1M tokens, so context is not a differentiator here.
Should I use Claude Fable 5 or DeepSeek V4-Flash?
Pick Claude Fable 5 for long-horizon agentic engineering. Pick DeepSeek V4-Flash for the cheapest capable open-weight option. If cost dominates the decision, DeepSeek V4-Flash wins; if you need the capability ceiling, benchmark both on your own evals before committing.