MModelspectraIndependent AI Model Intelligence
Head-to-head · Updated 2026-09-08
Model Comparison · Head to Head

DeepSeek-V4-Pro vs Doubao Seed 2.1 Turbo

DeepSeek-V4-Pro wins on Overall, Coding, Multimodal. Every numeric field is compared below, with a worked monthly-cost example and a pick rule for each use case.

VendorDeepSeek / ByteDance
Data fields15+ dimensions
Updated2026-09-08
Read~9 min
01

Verdict at a glance

Bottom line: Choose DeepSeek-V4-Pro when coding depth, long-context reliability, lower refusal matter most; choose Doubao Seed 2.1 Turbo when lower cost, lower latency is the priority.

Choose DeepSeek-V4-Pro if you…

  • Strongest open source
  • Value champion
  • Excellent math reasoning
  • Extremely low price
  • Best for: Coding, Math reasoning, Open-source deployment

Choose Doubao Seed 2.1 Turbo if you…

  • Low price
  • Video support
  • Fast
  • Built for volume
  • Best for: Volume production, Video, Low cost
02

Head-to-head aggregate scores

Scores are 0–100, aggregated from public benchmark information and independently weighted across three leaderboards. Rank is out of 22 tracked models.

DeepSeek-V4-Pro Higher overall
DeepSeek · #8 overall
Overall77
Coding79
Multimodal77
VS
Doubao Seed 2.1 Turbo
ByteDance · #20 overall
Overall63
Coding61
Multimodal73

Aggregated from public sources and independently weighted; methodology on the Terms page. Scores within 3 points are treated as statistically tied.

03

Specs & pricing — every field side by side

List API prices in USD per 1M tokens. The highlighted cell is the stronger value/capability on that row.

DimensionDeepSeek-V4-ProDoubao Seed 2.1 TurboVerdict
VendorDeepSeek (CN)ByteDance (CN)Different vendors
Released2026.042026.06Doubao Seed 2.1 Turbo is newer
Overall (rank)77 · #863 · #20DeepSeek-V4-Pro +14
Coding79 · #561 · #19DeepSeek-V4-Pro +18
Multimodal77 · #1373 · #17DeepSeek-V4-Pro +4
Context window1M256KDeepSeek-V4-Pro larger
Max output128K256KDoubao Seed 2.1 Turbo longer
Effective-context9490DeepSeek-V4-Pro more reliable
Input $/1M$0.44$0.42Doubao Seed 2.1 Turbo cheaper
Output $/1M$1.32$2.08DeepSeek-V4-Pro cheaper
Cache discountnonecustomDoubao Seed 2.1 Turbo deeper
Speed~70 tok/s~75 tok/sDoubao Seed 2.1 Turbo faster
TTFT0.5s0.4sDoubao Seed 2.1 Turbo snappier
Function calling8280DeepSeek-V4-Pro ahead
Refusal rate~5%~10%DeepSeek-V4-Pro less restrictive
English8268DeepSeek-V4-Pro
Chinese8590Doubao Seed 2.1 Turbo
Modalitiestexttext, image, videodifferent coverage
Open weightsYesNoDeepSeek-V4-Pro is open
Fine-tuningYesYes
Free tierDeepSeek App free; new API users receive creditsDoubao App free
SOC2 / no-trainno / yesno / yes
Private deploymentYesYesBoth support it

Fields drawn from vendor public documentation and the Modelspectra 22-model dataset; speed varies with network, concurrency and prompt length. Verify current pricing before purchase.

04

Dimension-by-dimension analysis

Reasoning & overall intelligence

DeepSeek-V4-Pro leads the overall aggregate by 14 points (77 vs 63). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while Doubao Seed 2.1 Turbo remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a clear gap: DeepSeek-V4-Pro scores 79 against 61. On multi-file edits, SWE-style tickets and long-horizon agent loops DeepSeek-V4-Pro needs fewer correction turns; Doubao Seed 2.1 Turbo is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

DeepSeek-V4-Pro leads multimodal 77 vs 73. A concrete modality difference: Doubao Seed 2.1 Turbo additionally handles image, video.

Speed & latency

Doubao Seed 2.1 Turbo is faster in interactive use: ~75 tok/s with 0.4s TTFT versus ~70 tok/s with 0.5s TTFT (about 1.1× the throughput). For conversational UIs where perceived responsiveness drives retention, that edge is a real product factor even when raw reasoning is lower.

Context: window vs usable recall

Nominal windows are 1M for DeepSeek-V4-Pro and 256K for Doubao Seed 2.1 Turbo. Effective-context scores point the same way as window size — DeepSeek-V4-Pro is ahead on usable recall (94 vs 90), so prefer it for long-document work where details cannot be missed.

Price & total cost

Doubao Seed 2.1 Turbo is the cheaper API at $0.42/$2.08 versus DeepSeek-V4-Pro at $0.44/$1.32 per 1M input/output tokens — list input is about 1.0× lower.

Chinese vs English

English: DeepSeek-V4-Pro 82 vs Doubao Seed 2.1 Turbo 68. Chinese: 85 vs 90. For Chinese-language production, Doubao Seed 2.1 Turbo is the stronger pick. Note that non-Chinese models generally require overseas network access for their APIs.

Tool use & ecosystem

Function-calling score: DeepSeek-V4-Pro 82 vs Doubao Seed 2.1 Turbo 80, so DeepSeek-V4-Pro has the edge on structured tool use. Fine-tuning is available from DeepSeek-V4-Pro and Doubao Seed 2.1 Turbo. Factor in existing SDK/plugin familiarity — switching cost often outweighs a few-point tool-use gap.

05

Cost worked example — same workload, real token math

Assume a production workload of 100M input + 30M output tokens per month, with 90% of input tokens served from cache. Figures use public list prices.

Scenario · per monthDeepSeek-V4-ProDoubao Seed 2.1 TurboGap
List priceno cache applied$84100M in × $0.44  +  30M out × $1.32$104100M in × $0.42  +  30M out × $2.081.24×gap
With caching90% of inputs cache-hit$84no published cache discount$104no published cache discount1.24×gap

Illustrative model; your input/output mix and cache-hit ratio change the result. Prices are list rates before any enterprise agreement.

06

Decision tree

IF the workload is agentic or multi-file coding and a wrong first pass is expensive  →  choose DeepSeek-V4-Pro (coding 79 vs 61).
IF you serve real-time users and latency is a product KPI  →  choose Doubao Seed 2.1 Turbo (~75 tok/s, 0.4s TTFT).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose DeepSeek-V4-Pro ($$0.44/$$1.32 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose DeepSeek-V4-Pro (effective context 94 vs 90).
07

Frequently asked questions

Which is better for agentic coding?
DeepSeek-V4-Pro is decisively stronger for coding (79 vs 61 on the aggregate). The gap shows on SWE-style multi-file tasks and long agent loops that need fewer correction turns; Doubao Seed 2.1 Turbo is fine for routine scripts.
Does Doubao Seed 2.1 Turbo's higher refusal rate matter in production?
Doubao Seed 2.1 Turbo refuses about 10% of prompts versus 5% for DeepSeek-V4-Pro. In unattended pipelines that means more retries, fallbacks and manual review, raising effective cost and latency even when the token price is lower.
How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, DeepSeek-V4-Pro is about $84/month and Doubao Seed 2.1 Turbo about $104/month after cache discounts ($84 and $104 at list).
Does the bigger context window actually matter?
Nominal windows are DeepSeek-V4-Pro (1M) and Doubao Seed 2.1 Turbo (256K), but usable recall follows the effective-context score (94 vs 90). Prefer the higher effective-context model for long-document work where nothing can be missed.
Can I self-host either model?
DeepSeek-V4-Pro ships open weights and can be self-hosted (GPU permitting) for data control; Doubao Seed 2.1 Turbo is a closed managed API with no self-hosting. Choose open weights when residency or cost-at-scale dominates, managed API for convenience.
Which handles multimodal inputs better?
Multimodal scores are 77 (DeepSeek-V4-Pro) vs 73 (Doubao Seed 2.1 Turbo), with modality coverage text versus text/image/video. Match the model to the input types your product actually receives.