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

Doubao Seed Evolving vs GPT-5.6 Terra

Doubao Seed Evolving wins on Overall, Multimodal; GPT-5.6 Terra wins on Coding. Every numeric field is compared below, with a worked monthly-cost example and a pick rule for each use case.

VendorByteDance / OpenAI
Data fields15+ dimensions
Updated2026-09-08
Read~9 min
01

Verdict at a glance

Bottom line: Choose Doubao Seed Evolving when long-context reliability, lower refusal matter most; choose GPT-5.6 Terra when its stronger dimensions is the priority.

Choose Doubao Seed Evolving if you…

  • Continuously updated
  • 1M context
  • Good Chinese
  • ByteDance ecosystem
  • Best for: Chinese, Long context, Continuously evolving

Choose GPT-5.6 Terra if you…

  • OpenAI quality
  • Halved price
  • Rich ecosystem
  • Best for: Value, General tasks, OpenAI ecosystem
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.

Doubao Seed Evolving Higher overall
ByteDance · #15 overall
Overall68
Coding67
Multimodal83
VS
GPT-5.6 Terra
OpenAI · #21 overall
Overall62
Coding70
Multimodal69

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.

DimensionDoubao Seed EvolvingGPT-5.6 TerraVerdict
VendorByteDance (CN)OpenAI (US)Different vendors
Released2026.072026.07GPT-5.6 Terra is newer
Overall (rank)68 · #1562 · #21Doubao Seed Evolving +6
Coding67 · #1470 · #12GPT-5.6 Terra +3
Multimodal83 · #969 · #19Doubao Seed Evolving +14
Context window1M1.05MGPT-5.6 Terra larger
Max output256K128KDoubao Seed Evolving longer
Effective-context9288Doubao Seed Evolving more reliable
Input $/1M$0.83$2.5Doubao Seed Evolving cheaper
Output $/1M$4.17$15Doubao Seed Evolving cheaper
Cache discountcustom50% offGPT-5.6 Terra deeper
Speed~60 tok/s~60 tok/sTie
TTFT0.5s0.5sTie
Function calling8290GPT-5.6 Terra ahead
Refusal rate~10%~13%Doubao Seed Evolving less restrictive
English7088GPT-5.6 Terra
Chinese9372Doubao Seed Evolving
Modalitiestext, imagetext, imageSame
Open weightsNoNoBoth closed
Fine-tuningNoNo
Free tierDoubao App freeNo free API
SOC2 / no-trainno / yesyes / yes
Private deploymentYesNoDoubao Seed Evolving

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

Doubao Seed Evolving leads the overall aggregate by 6 points (68 vs 62). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while GPT-5.6 Terra remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a modest gap: GPT-5.6 Terra scores 70 against 67. On multi-file edits, SWE-style tickets and long-horizon agent loops GPT-5.6 Terra 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 69. Neither emits native video, so the comparison is about parsing images and documents, not generation.

Speed & latency

Doubao Seed Evolving is faster in interactive use: ~60 tok/s with 0.5s TTFT versus ~60 tok/s with 0.5s TTFT (about 1.0× 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 Doubao Seed Evolving and 1.05M for GPT-5.6 Terra. Crucially, the larger nominal window does not win on usable recall: GPT-5.6 Terra advertises 1.05M but Doubao Seed Evolving scores higher on effective-context (92 vs 88), i.e. it actually retains more of what it was given.

Price & total cost

Doubao Seed Evolving is the cheaper API at $0.83/$4.17 versus GPT-5.6 Terra at $2.5/$15 per 1M input/output tokens — list input is about 3.0× lower. Cache discounts (GPT-5.6 Terra 50%) shift the effective bill, worked out below.

Chinese vs English

English: Doubao Seed Evolving 70 vs GPT-5.6 Terra 88. Chinese: 93 vs 72. 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: Doubao Seed Evolving 82 vs GPT-5.6 Terra 90, so GPT-5.6 Terra has the edge on structured tool use. Neither offers standard fine-tuning. 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 monthDoubao Seed EvolvingGPT-5.6 TerraGap
List priceno cache applied$208100M in × $0.83  +  30M out × $4.17$700100M in × $2.5  +  30M out × $153.37×gap
With caching90% of inputs cache-hit$208no published cache discount$58890M cached in × $1.25  +  10M in × $2.5  +  30M out × $152.83×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 GPT-5.6 Terra (coding 70 vs 67).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose Doubao Seed Evolving ($$0.83/$$4.17 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose Doubao Seed Evolving (effective context 92 vs 88).
IF the product is Chinese-first  →  choose Doubao Seed Evolving (Chinese 93 vs 72).
07

Frequently asked questions

Is GPT-5.6 Terra worth the higher price over Doubao Seed Evolving?
At list the input rate is 3.0x higher, but cache discounts and output pricing narrow the effective gap. Pay the premium when GPT-5.6 Terra's stronger dimensions protect revenue; for routine volume Doubao Seed Evolving is the economical pick.
How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, Doubao Seed Evolving is about $208/month and GPT-5.6 Terra about $588/month after cache discounts ($208 and $700 at list).
Does the bigger context window actually matter?
Nominal windows are Doubao Seed Evolving (1M) and GPT-5.6 Terra (1.05M), but usable recall follows the effective-context score (92 vs 88). Prefer the higher effective-context model for long-document work where nothing can be missed.
How do they differ for Chinese-language and data-residency use?
Doubao Seed Evolving is the Chinese model (Chinese score 93, domestic cloud, possible private deployment) while GPT-5.6 Terra is the global model (Chinese 72, overseas API). Pick by language quality, access path and where data must reside.
Which handles multimodal inputs better?
Multimodal scores are 83 (Doubao Seed Evolving) vs 69 (GPT-5.6 Terra), with modality coverage text/image versus text/image. Match the model to the input types your product actually receives.
What is the single-line recommendation?
Choose Doubao Seed Evolving for Chinese, Long context; choose GPT-5.6 Terra for Value, General tasks.