DeepSeek V4 Pro VS Flash: การเขียนโค้ด, เอเจนต์ และอื่นๆ อีกมากมาย
โคลอี้ เมอร์ฟี
Last Updated 2026-08-14
DeepSeek now offers two V4 models with the same million-token context window but very different compute profiles. Should you pay more for V4 Pro, or can the smaller V4 Flash handle the work you actually do?
This comparison examines official specifications, API price, coding and agent benchmarks, speed, concurrency, and controlled same-prompt tests. It separates DeepSeek’s published results from independent measurements and our own API runs.
คำตอบด่วน: V4 Flash is the practical starting point when latency, throughput, and cost matter. V4 Pro provides more active capacity and stronger official results on difficult knowledge, long-context, coding, and multi-step agent tasks.
Both models are listed in โกลบอลจีพีที, which makes them easier to compare without maintaining separate integrations.
DeepSeek V4 is an open-weight mixture-of-experts family. The official model card lists V4 Pro at 1.6T total / 49B active parameters and V4 Flash at 284B total / 13B active parameters. Both support a 1M-token context window and use the MIT license.
DeepSeek V4 Pro vs Flash: Specifications
ข้อกำหนด
V4 Flash
V4 Pro
เวอร์ชัน
Flash-0731
Pro-0813
พารามิเตอร์
284B / 13B active
1.6T / 49B active
Context / output
1M / 384K
1M / 384K
การพร้อมกัน
2,500
500
The official models and pricing page lists tool calls, JSON output, Responses API, and Anthropic-compatible API support for both.
DeepSeek’s official API documentation confirms the current V4 Flash and V4 Pro versions, limits, features, and pricing.
Price and Throughput
Flash costs $0.14 per million cache-miss input tokens and $0.28 per million output tokens. Pro costs $0.435 and $0.87 respectively. Flash is about 68% cheaper for ordinary uncached traffic.
Price warning: DeepSeek says it plans to raise overall API pricing. Recheck the official page before budgeting.
What the Benchmarks Actually Show
At Max effort, DeepSeek reports Pro ahead of Flash on LiveCodeBench (93.5 vs 91.6), Codeforces rating (3206 vs 3052), Terminal Bench 2.0 (67.9 vs 56.9), SWE Verified (80.6 vs 79.0), BrowseComp (83.4 vs 73.2), and MRCR 1M (83.5 vs 78.7).
Artificial Analysis independently lists V4 Pro 0813 at 53 on Intelligence Index v4.1.1 and about 83.2 output tokens per second. No separate Flash-0731 detail page was available during our check, so this is not an independent head-to-head result.
Official DeepSeek · Max effort
Selected benchmark results
LiveCodeBench93.5 vs 91.6Pro กับ Flash
Terminal Bench 2.067.9 vs 56.9Pro กับ Flash
BrowseComp83.4 vs 73.2Pro กับ Flash
MRCR 1M83.5 vs 78.7Pro กับ Flash
Provider-reported results; settings and sample scope follow DeepSeek’s published table. They are not our hands-on scores.
การวิเคราะห์เทียม53Intelligence Index v4.1.1 · Pro only
Measured output speed83.2 t/sArtificial Analysis · Pro only
Evidence limitNo Flash detail pageThis is not an independent head-to-head.
Artificial Analysis reports Pro-only intelligence and speed metrics; this is not an independent Flash comparison.
DeepSeek V4 Pro vs Flash: Hands-On Tests
Both models receive the same prompt, temperature, input, and API route. Local elapsed time includes network and platform overhead.
Hands-on test 01 · Coding
Multi-File Pricing Debug
Winner: V4 Pro
V4 Flash18.5s · 519 tokens
Found early rounding, but missed percent conversion and left the faulty rounding function unchanged.
V4 Pro84.9s · 6,857 tokens
Found all three defects and returned corrected files plus the requested regression tests.
การตั้งค่างาน: Diagnose a TypeScript pricing bug across multiple files, preserve the public API, correct discount and currency rounding behavior, and propose regression tests.
สิ่งนี้แสดงให้เห็นว่า: Flash identified one important symptom, while Pro traced the interacting defects across all three files.
ความเห็นของบรรณาธิการ: V4 Pro met the full acceptance criteria. Flash required material correction before the patch was safe to use.
Hands-on test 02 · Agents
Incident Triage and Structured Planning
Split decision
V4 Flash51.6s · 1,656 tokens
Produced a usable guarded plan, but wrapped the requested JSON in a Markdown code fence.
V4 Pro111.6s · 9,172 tokens
Returned valid JSON only, with a clearer evidence gate and stricter constraint following.
การตั้งค่างาน: Triage an incident from read-only evidence, separate facts from assumptions, identify approval-gated actions, produce a verification plan, and return strict structured output.
สิ่งนี้แสดงให้เห็นว่า: Both models respected the read-only safety boundary. The practical difference was format discipline versus speed and output economy.
ความเห็นของบรรณาธิการ: Choose V4 Pro when strict machine-readable output matters; choose V4 Flash when a human can review the plan and efficiency is the priority.
Hands-on test 03 · Everyday work
Meeting Memo to Strict JSON
Split decision
V4 Flash · 18.6s · 418 tokens
Valid JSON and faster, but mislabeled a confirmed budget state as uncertain.
V4 Pro · 220.9s · 17,244 tokens
Valid JSON with more accurate fact-versus-uncertainty labeling.
การตั้งค่างาน: Convert a dated project memo into a fixed JSON schema without adding facts.
สิ่งนี้แสดงให้เห็นว่า: Flash was far more efficient; Pro labeled risk states more accurately.
ความเห็นของบรรณาธิการ: Pro for automated risk decisions; Flash for human-reviewed extraction.
Hands-on test 04 · Research
Evidence-Bounded Decision Memo
Both passed
V4 Flash · 9.9s · 333 tokens
Stayed within the source pack and produced task-based routing.
V4 Pro · 60.4s · 4,189 tokens
Same recommendation with clearer evidence limits and safeguards.
การตั้งค่างาน: Write a 180–230 word memo using only a controlled source pack and exactly three evidence-gap bullets.
สิ่งนี้แสดงให้เห็นว่า: Both resisted unsupported claims and reached the same recommendation.
ความเห็นของบรรณาธิการ: Both passed; Pro was marginally more precise, Flash much more efficient.
Hands-on test 05 · Reasoning
Constraint Scheduling with Self-Checks
Winner: V4 Pro
V4 Flash · 6.3s · 173 tokens
Put E in PM despite the AM-only rule, then marked the schedule valid.
V4 Pro · 31.5s · 2,118 tokens
Returned a valid schedule and accurately checked every constraint.
การตั้งค่างาน: Assign five dependent tasks to five slots, obey six constraints, return JSON only, and self-check every rule.
สิ่งนี้แสดงให้เห็นว่า: Flash’s own validation contradicted its schedule.
ความเห็นของบรรณาธิการ: V4 Pro wins because both its schedule and checks were correct.
Which DeepSeek V4 Model Should You Use?
การเขียนโค้ด
Start with Flash for isolated functions, tests, SQL, and well-scoped fixes.
Move to Pro for multi-file ambiguity.
Prefer Pro for terminal-heavy recovery.
ตัวแทน
Start with Flash for short, guarded tool chains.
Use Pro for longer dependent steps.
Keep permissions outside the model.
Everyday Tasks
Start with Flash for summaries, extraction, and email drafts.
Use Pro for conflicting documents.
Verify high-stakes claims externally.
DeepSeek V4 Pro vs Flash: How to Choose
Decision dashboard · 5 matched tests
Route by correction cost, not by model name
Flash advantage5 / 5 faster
Pro quality wins2 clear wins
Official price gap~3.11×
Workload
Start
หลักฐาน
Escalate when
Batch extraction
แฟลช
Faster in 5/5; 2,500 concurrency
Risk labels drive automation
Repository debugging
ข้อดี
Found all seeded defects
Flash only for triage
Short guarded agents
แฟลช
Usable with lower cost
Strict JSON is mandatory
Constraint automation
ข้อดี
Valid schedule and checks
Human correction is cheap
Evidence synthesis
Either
Both passed
Choose by latency budget
สรุป: Default to Flash for bounded volume. Pay for Pro when correction cost exceeds token cost.
คำถามที่พบบ่อย
Is DeepSeek V4 Flash good for coding?
Yes. Official results place Flash close to Pro on some coding tests. Pro has a clearer advantage when coding expands into terminal use, browsing, or repository reasoning.
Do V4 Pro and Flash have the same context window?
Yes. DeepSeek lists a 1M-token context window and maximum 384K-token output for both.
Is V4 Pro always more accurate?
No model is always more accurate. Pro has more active capacity and leads most difficult official comparisons, but tightly specified routine tasks can show little practical difference.
How much cheaper is V4 Flash?
At the prices checked August 13, 2026, Flash costs about 68% less for cache-miss input and output tokens.
Can both models use tools?
Yes. The official API table lists tool calls, JSON output, Responses API, and Anthropic-compatible API support for both.
Which model was faster in the hands-on tests?
V4 Flash was faster in all five local API runs. These times include network and platform overhead, so they are not provider-side latency.
Why does V4 Pro use so many more completion tokens?
The tested Pro route reported substantial internal reasoning tokens inside its completion budget. This can help on difficult tasks, but increases elapsed time and token use.
Should I use V4 Pro for every agent workflow?
No. Start with Flash for short, bounded, reviewable tool chains. Escalate to Pro when errors or interacting constraints carry a high correction cost.
Are these official DeepSeek benchmark results?
No. The five cards report controlled API tests for this article. Official DeepSeek benchmarks and third-party Artificial Analysis data are labeled separately.
Compare the same prompt in โกลบอลจีพีที before committing to one route.
