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

DeepSeek-V4.1-Flash vs Doubao Seed 2.1 Turbo

DeepSeek-V4.1-Flash 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-V4.1-Flash when coding depth, long-context reliability, lower refusal matter most; choose Doubao Seed 2.1 Turbo when its stronger dimensions is the priority.

Choose DeepSeek-V4.1-Flash if you…

  • 1M context at ~890 bytes/token global KV
  • Top agentic coding (DeepSWE 74.2, Terminal-Bench 2.1 90.6)
  • Persistent KV cut to ~1/8 via bounded replay
  • Open weights, extremely low serving cost
  • Best for: Long-context AI agents, Agentic coding, High-throughput 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 27 tracked models.

DeepSeek-V4.1-Flash Higher overall
DeepSeek · #12 overall
Overall76
Coding89
Multimodal78
VS
Doubao Seed 2.1 Turbo
ByteDance · #25 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-V4.1-FlashDoubao Seed 2.1 TurboVerdict
VendorDeepSeek (CN)ByteDance (CN)Different vendors
Released2026.092026.06DeepSeek-V4.1-Flash is newer
Overall (rank)76 · #1263 · #25DeepSeek-V4.1-Flash +13
Coding89 · #561 · #24DeepSeek-V4.1-Flash +28
Multimodal78 · #1673 · #22DeepSeek-V4.1-Flash +5
Context window1M256KDeepSeek-V4.1-Flash larger
Max output128K256KDoubao Seed 2.1 Turbo longer
Effective-context9890DeepSeek-V4.1-Flash more reliable
Input $/1M$0.14$0.42DeepSeek-V4.1-Flash cheaper
Output $/1M$0.28$2.08DeepSeek-V4.1-Flash cheaper
Cache discountnonecustomDoubao Seed 2.1 Turbo deeper
Speed~85 tok/s~75 tok/sDeepSeek-V4.1-Flash faster
TTFT0.3s0.4sDeepSeek-V4.1-Flash snappier
Function calling8480DeepSeek-V4.1-Flash ahead
Refusal rate~5%~10%DeepSeek-V4.1-Flash less restrictive
English8468DeepSeek-V4.1-Flash
Chinese8690Doubao Seed 2.1 Turbo
Modalitiestext, imagetext, image, videodifferent coverage
Open weightsYesNoDeepSeek-V4.1-Flash is open
Fine-tuningYesYes
Free tierDeepSeek App free; open weights to self-hostDoubao App free
SOC2 / no-trainno / yesno / yes
Private deploymentYesYesBoth support it

Fields drawn from vendor public documentation and the Modelspectra 27-model dataset; speed varies with network, concurrency and prompt length. Verify current pricing before purchase.

04

Dimension-by-dimension analysis

Reasoning & overall intelligence

DeepSeek-V4.1-Flash leads the overall aggregate by 13 points (76 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 decisive gap: DeepSeek-V4.1-Flash scores 89 against 61. On multi-file edits, SWE-style tickets and long-horizon agent loops DeepSeek-V4.1-Flash 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-V4.1-Flash leads multimodal 78 vs 73. A concrete modality difference: Doubao Seed 2.1 Turbo additionally handles video.

Speed & latency

DeepSeek-V4.1-Flash is faster in interactive use: ~85 tok/s with 0.3s TTFT versus ~75 tok/s with 0.4s 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-V4.1-Flash and 256K for Doubao Seed 2.1 Turbo. Effective-context scores point the same way as window size — DeepSeek-V4.1-Flash is ahead on usable recall (98 vs 90), so prefer it for long-document work where details cannot be missed.

Price & total cost

DeepSeek-V4.1-Flash is the cheaper API at $0.14/$0.28 versus Doubao Seed 2.1 Turbo at $0.42/$2.08 per 1M input/output tokens — list input is about 3.0× lower.

Chinese vs English

English: DeepSeek-V4.1-Flash 84 vs Doubao Seed 2.1 Turbo 68. Chinese: 86 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-V4.1-Flash 84 vs Doubao Seed 2.1 Turbo 80, so DeepSeek-V4.1-Flash has the edge on structured tool use. Fine-tuning is available from DeepSeek-V4.1-Flash 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-V4.1-FlashDoubao Seed 2.1 TurboGap
List priceno cache applied$22100M in × $0.14  +  30M out × $0.28$104100M in × $0.42  +  30M out × $2.084.73×gap
With caching90% of inputs cache-hit$22no published cache discount$104no published cache discount4.73×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-V4.1-Flash (coding 89 vs 61).
IF you serve real-time users and latency is a product KPI  →  choose DeepSeek-V4.1-Flash (~85 tok/s, 0.3s TTFT).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose DeepSeek-V4.1-Flash ($$0.14/$$0.28 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose DeepSeek-V4.1-Flash (effective context 98 vs 90).
07

Frequently asked questions

Is Doubao Seed 2.1 Turbo worth the higher price over DeepSeek-V4.1-Flash?
At list the input rate is 3.0x higher, but cache discounts and output pricing narrow the effective gap. Pay the premium when Doubao Seed 2.1 Turbo's stronger dimensions protect revenue; for routine volume DeepSeek-V4.1-Flash is the economical pick.
Which is better for agentic coding?
DeepSeek-V4.1-Flash is decisively stronger for coding (89 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-V4.1-Flash. 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-V4.1-Flash is about $22/month and Doubao Seed 2.1 Turbo about $104/month after cache discounts ($22 and $104 at list).
Does the bigger context window actually matter?
Nominal windows are DeepSeek-V4.1-Flash (1M) and Doubao Seed 2.1 Turbo (256K), but usable recall follows the effective-context score (98 vs 90). Prefer the higher effective-context model for long-document work where nothing can be missed.
Can I self-host either model?
DeepSeek-V4.1-Flash 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.