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 Evolving

DeepSeek-V4.1-Flash wins on Overall, Coding; Doubao Seed Evolving wins on 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 Evolving 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 Evolving if you…

  • Continuously updated
  • 1M context
  • Good Chinese
  • ByteDance ecosystem
  • Best for: Chinese, Long context, Continuously evolving
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 Evolving
ByteDance · #19 overall
Overall68
Coding67
Multimodal83

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 EvolvingVerdict
VendorDeepSeek (CN)ByteDance (CN)Different vendors
Released2026.092026.07DeepSeek-V4.1-Flash is newer
Overall (rank)76 · #1268 · #19DeepSeek-V4.1-Flash +8
Coding89 · #567 · #19DeepSeek-V4.1-Flash +22
Multimodal78 · #1683 · #12Doubao Seed Evolving +5
Context window1M1MTie
Max output128K256KDoubao Seed Evolving longer
Effective-context9892DeepSeek-V4.1-Flash more reliable
Input $/1M$0.14$0.83DeepSeek-V4.1-Flash cheaper
Output $/1M$0.28$4.17DeepSeek-V4.1-Flash cheaper
Cache discountnonecustomDoubao Seed Evolving deeper
Speed~85 tok/s~60 tok/sDeepSeek-V4.1-Flash faster
TTFT0.3s0.5sDeepSeek-V4.1-Flash snappier
Function calling8482DeepSeek-V4.1-Flash ahead
Refusal rate~5%~10%DeepSeek-V4.1-Flash less restrictive
English8470DeepSeek-V4.1-Flash
Chinese8693Doubao Seed Evolving
Modalitiestext, imagetext, imageSame
Open weightsYesNoDeepSeek-V4.1-Flash is open
Fine-tuningYesNo
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 8 points (76 vs 68). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while Doubao Seed Evolving 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 67. On multi-file edits, SWE-style tickets and long-horizon agent loops DeepSeek-V4.1-Flash needs fewer correction turns; Doubao Seed Evolving is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Doubao Seed Evolving leads multimodal 83 vs 78. Neither emits native video, so the comparison is about parsing images and documents, not generation.

Speed & latency

DeepSeek-V4.1-Flash is faster in interactive use: ~85 tok/s with 0.3s TTFT versus ~60 tok/s with 0.5s TTFT (about 1.4× 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 1M for Doubao Seed Evolving. Effective-context scores point the same way as window size — DeepSeek-V4.1-Flash is ahead on usable recall (98 vs 92), 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 Evolving at $0.83/$4.17 per 1M input/output tokens — list input is about 5.9× lower.

Chinese vs English

English: DeepSeek-V4.1-Flash 84 vs Doubao Seed Evolving 70. Chinese: 86 vs 93. For Chinese-language production, Doubao Seed Evolving 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 Evolving 82, so DeepSeek-V4.1-Flash has the edge on structured tool use. Fine-tuning is available from DeepSeek-V4.1-Flash. 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 EvolvingGap
List priceno cache applied$22100M in × $0.14  +  30M out × $0.28$208100M in × $0.83  +  30M out × $4.179.45×gap
With caching90% of inputs cache-hit$22no published cache discount$208no published cache discount9.45×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 67).
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 92).
07

Frequently asked questions

Is Doubao Seed Evolving worth the higher price over DeepSeek-V4.1-Flash?
At list the input rate is 5.9x higher, but cache discounts and output pricing narrow the effective gap. Pay the premium when Doubao Seed Evolving'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 67 on the aggregate). The gap shows on SWE-style multi-file tasks and long agent loops that need fewer correction turns; Doubao Seed Evolving is fine for routine scripts.
Does Doubao Seed Evolving's higher refusal rate matter in production?
Doubao Seed Evolving 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 Evolving about $208/month after cache discounts ($22 and $208 at list).
Does the bigger context window actually matter?
Nominal windows are DeepSeek-V4.1-Flash (1M) and Doubao Seed Evolving (1M), but usable recall follows the effective-context score (98 vs 92). 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 Evolving is a closed managed API with no self-hosting. Choose open weights when residency or cost-at-scale dominates, managed API for convenience.