Choose DeepSeek V4 Pro When
- A 44.3 Intelligence Index and 47.5 Coding Index in TokenHub’s max-effort profile
- $1.80 input and $3.50 output per million tokens
- A 1M context window and 384K maximum output for text-only workloads
DeepSeek V4 Pro vs DeepSeek V4 Flash
DeepSeek V4 Pro from DeepSeek and DeepSeek V4 Flash from DeepSeek are shown side by side so you can compare pricing, model IDs, context and output limits, modalities, tool use, release details, and benchmark results where data is available.
Overall Recommendation
DeepSeek V4 Pro is the capability default, with higher TokenHub Intelligence and Coding indexes while retaining the same 1M context and 384K output. Choose Flash when roughly 12× lower input cost and 11.7× lower output cost matter more.
Recommendation based on DeepSeek V4 Pro (Reasoning, Max Effort) vs DeepSeek V4 Flash (Reasoning, Max Effort).
Comparison Highlights
DeepSeek V4 ProDeepSeek
DeepSeek V4 FlashDeepSeek
Best For
Long-context reasoningcodebase analysiscost control
High-throughputcost-sensitive long-context workloads
How To Read ItUse-case synthesis from model capabilities and positioning.
Workload Fit
ReasoningCodingLong context
ThroughputLow costLong context
How To Read ItThe workloads each model is most directly shaped for.
Input
$1.2857/M
$0.4286/MEdge
How To Read ItLower is better when prompts or retrieval payloads are large.
Output
$3.8571/M
$1.2857/MEdge
How To Read ItLower is better for reasoning-heavy or long-generation traffic.
Context length
1M
1M
How To Read ItHigher is better for repositories, retrieval packs, and transcripts.
Input modalities
Text
Text
How To Read ItBroader input support reduces the need for separate vision or video models.
Model Selection Guide
Choose DeepSeek V4 Flash When
- The lowest listed price: $0.15 input and $0.30 output per million tokens
- A 40.3 Intelligence Index and 38.7 Coding Index in TokenHub’s max-effort profile
- A 1M context window and 384K maximum output for high-volume text workloads
Basic Information
DeepSeek V4 ProDeepSeek
DeepSeek V4 FlashDeepSeek
Name
DeepSeek V4 ProDeepSeek V4 Pro
Model id
DeepSeek V4 Prodeepseek-v4-pro
Intro
DeepSeek V4 ProDeepSeek V4 Pro is described as a large-scale Mixture-of-Experts model with 1.6T total parameters and 49B activated parameters, while keeping a 1M-token context window for very large inputs. Its model cards emphasize advanced reasoning, coding, and long-horizon agent workflows rather than simple chat. The Pro variant is the capability-oriented member of the V4 family, making it better suited to full-codebase analysis, large research synthesis, and multi-step automation where depth matters more than the lowest possible latency.
Author
DeepSeek V4 ProDeepSeek
Released date
DeepSeek V4 Pro2026-04-24
Context length
DeepSeek V4 Pro1M
Max output tokens
DeepSeek V4 Pro384K
Name
DeepSeek V4 FlashDeepSeek V4 Flash
Model id
DeepSeek V4 Flashdeepseek-v4-flash
Intro
DeepSeek V4 FlashDeepSeek V4 Flash keeps the V4 family’s 1M-token context window but uses a lighter MoE configuration, commonly described as 284B total parameters with 13B activated parameters. The emphasis is throughput: fast inference, lower cost per call, and production workloads that still need long-context handling. It is the better fit when the task volume is high and the workload benefits from V4-style long-context architecture without always requiring the deepest reasoning tier.
Author
DeepSeek V4 FlashDeepSeek
Released date
DeepSeek V4 Flash2026-04-24
Context length
DeepSeek V4 Flash1M
Max output tokens
DeepSeek V4 Flash384K
Name
DeepSeek V4 ProDeepSeek V4 Pro
Name
DeepSeek V4 FlashDeepSeek V4 Flash
Model id
DeepSeek V4 Prodeepseek-v4-pro
Model id
DeepSeek V4 Flashdeepseek-v4-flash
Intro
DeepSeek V4 ProDeepSeek V4 Pro is described as a large-scale Mixture-of-Experts model with 1.6T total parameters and 49B activated parameters, while keeping a 1M-token context window for very large inputs. Its model cards emphasize advanced reasoning, coding, and long-horizon agent workflows rather than simple chat. The Pro variant is the capability-oriented member of the V4 family, making it better suited to full-codebase analysis, large research synthesis, and multi-step automation where depth matters more than the lowest possible latency.
Intro
DeepSeek V4 FlashDeepSeek V4 Flash keeps the V4 family’s 1M-token context window but uses a lighter MoE configuration, commonly described as 284B total parameters with 13B activated parameters. The emphasis is throughput: fast inference, lower cost per call, and production workloads that still need long-context handling. It is the better fit when the task volume is high and the workload benefits from V4-style long-context architecture without always requiring the deepest reasoning tier.
Author
DeepSeek V4 ProDeepSeek
Author
DeepSeek V4 FlashDeepSeek
Released date
DeepSeek V4 Pro2026-04-24
Released date
DeepSeek V4 Flash2026-04-24
Context length
DeepSeek V4 Pro1M
Context length
DeepSeek V4 Flash1M
Max output tokens
DeepSeek V4 Pro384K
Max output tokens
DeepSeek V4 Flash384K
Pricing
DeepSeek V4 ProDeepSeek
DeepSeek V4 FlashDeepSeek
Input
DeepSeek V4 Pro$1.2857/M
Output
DeepSeek V4 Pro$3.8571/M
Cached input
DeepSeek V4 Pro$0.0429/M
Input
DeepSeek V4 Flash$0.4286/M
Output
DeepSeek V4 Flash$1.2857/M
Cached input
DeepSeek V4 Flash$0.0143/M
Input
DeepSeek V4 Pro$1.2857/M
Input
DeepSeek V4 Flash$0.4286/M
Output
DeepSeek V4 Pro$3.8571/M
Output
DeepSeek V4 Flash$1.2857/M
Cached input
DeepSeek V4 Pro$0.0429/M
Cached input
DeepSeek V4 Flash$0.0143/M
Capabilities
DeepSeek V4 ProDeepSeek
DeepSeek V4 FlashDeepSeek
Reasoning
DeepSeek V4 Pro
Knowledge
DeepSeek V4 Pro2025-05-01
Attachment
DeepSeek V4 Pro
Input modalities
DeepSeek V4 ProText
Output modalities
DeepSeek V4 ProText
Temperature
DeepSeek V4 Pro
Tool use
DeepSeek V4 Pro
Reasoning
DeepSeek V4 Flash
Knowledge
DeepSeek V4 Flash2025-05-01
Attachment
DeepSeek V4 Flash
Input modalities
DeepSeek V4 FlashText
Output modalities
DeepSeek V4 FlashText
Temperature
DeepSeek V4 Flash
Tool use
DeepSeek V4 Flash
Reasoning
DeepSeek V4 Pro
Reasoning
DeepSeek V4 Flash
Knowledge
DeepSeek V4 Pro2025-05-01
Knowledge
DeepSeek V4 Flash2025-05-01
Attachment
DeepSeek V4 Pro
Attachment
DeepSeek V4 Flash
Input modalities
DeepSeek V4 ProText
Input modalities
DeepSeek V4 FlashText
Output modalities
DeepSeek V4 ProText
Output modalities
DeepSeek V4 FlashText
Temperature
DeepSeek V4 Pro
Temperature
DeepSeek V4 Flash
Tool use
DeepSeek V4 Pro
Tool use
DeepSeek V4 Flash
Benchmark
DeepSeek V4 ProDeepSeek
DeepSeek V4 FlashDeepSeek
Intelligence
wins44.3
Coding
wins47.5
Intelligence
40.3
Coding
38.7
Knowledge & Reasoning
GPQA
88.8%
HLE
wins35.9%
GPQA
wins89.4%
HLE
32.1%
Coding
SciCode
wins50%
Terminal-Bench Hard
wins46.2%
SciCode
44.9%
Terminal-Bench Hard
35.6%
Instruction Following & Agent Tasks
IFBench
76.5%
AA-LCR
wins66.3%
Tau2
wins96.2%
IFBench
wins79.2%
AA-LCR
63%
Tau2
95.0%
FAQ
Which model is better, DeepSeek V4 Pro or DeepSeek V4 Flash?
+
DeepSeek V4 Pro and DeepSeek V4 Flash should be compared by workload. This page places price, context, output limits, capabilities, and benchmark data side by side.
Is DeepSeek V4 Flash cheaper than DeepSeek V4 Pro?
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Use the pricing rows above to compare input, output, and cached input prices for DeepSeek V4 Pro and DeepSeek V4 Flash.
Which model supports a longer context length?
+
DeepSeek V4 Pro lists 1M context length, while DeepSeek V4 Flash lists 1M.
Can I access both models through TokenHub?
+
If both models are available in the TokenHub catalog, you can route requests to DeepSeek V4 Pro and DeepSeek V4 Flash through the TokenHub API.