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

Doubao Seed 2.1 Turbo vs GPT-5.6 Terra

Doubao Seed 2.1 Turbo 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 2.1 Turbo when long-context reliability, lower refusal matter most; choose GPT-5.6 Terra when its stronger dimensions is the priority.

Choose Doubao Seed 2.1 Turbo if you…

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

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 2.1 Turbo Higher overall
ByteDance · #20 overall
Overall63
Coding61
Multimodal73
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 2.1 TurboGPT-5.6 TerraVerdict
VendorByteDance (CN)OpenAI (US)Different vendors
Released2026.062026.07GPT-5.6 Terra is newer
Overall (rank)63 · #2062 · #21Doubao Seed 2.1 Turbo +1
Coding61 · #1970 · #12GPT-5.6 Terra +9
Multimodal73 · #1769 · #19Doubao Seed 2.1 Turbo +4
Context window256K1.05MGPT-5.6 Terra larger
Max output256K128KDoubao Seed 2.1 Turbo longer
Effective-context9088Doubao Seed 2.1 Turbo more reliable
Input $/1M$0.42$2.5Doubao Seed 2.1 Turbo cheaper
Output $/1M$2.08$15Doubao Seed 2.1 Turbo cheaper
Cache discountcustom50% offGPT-5.6 Terra deeper
Speed~75 tok/s~60 tok/sDoubao Seed 2.1 Turbo faster
TTFT0.4s0.5sDoubao Seed 2.1 Turbo snappier
Function calling8090GPT-5.6 Terra ahead
Refusal rate~10%~13%Doubao Seed 2.1 Turbo less restrictive
English6888GPT-5.6 Terra
Chinese9072Doubao Seed 2.1 Turbo
Modalitiestext, image, videotext, imagedifferent coverage
Open weightsNoNoBoth closed
Fine-tuningYesNo
Free tierDoubao App freeNo free API
SOC2 / no-trainno / yesyes / yes
Private deploymentYesNoDoubao Seed 2.1 Turbo

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 2.1 Turbo leads the overall aggregate by 1 points (63 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 61. On multi-file edits, SWE-style tickets and long-horizon agent loops GPT-5.6 Terra needs fewer correction turns; Doubao Seed 2.1 Turbo is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Doubao Seed 2.1 Turbo leads multimodal 73 vs 69. A concrete modality difference: Doubao Seed 2.1 Turbo additionally handles video.

Speed & latency

Doubao Seed 2.1 Turbo is faster in interactive use: ~75 tok/s with 0.4s TTFT versus ~60 tok/s with 0.5s TTFT (about 1.2× 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 256K for Doubao Seed 2.1 Turbo 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 2.1 Turbo scores higher on effective-context (90 vs 88), i.e. it actually retains more of what it was given.

Price & total cost

Doubao Seed 2.1 Turbo is the cheaper API at $0.42/$2.08 versus GPT-5.6 Terra at $2.5/$15 per 1M input/output tokens — list input is about 6.0× lower. Cache discounts (GPT-5.6 Terra 50%) shift the effective bill, worked out below.

Chinese vs English

English: Doubao Seed 2.1 Turbo 68 vs GPT-5.6 Terra 88. Chinese: 90 vs 72. 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: Doubao Seed 2.1 Turbo 80 vs GPT-5.6 Terra 90, so GPT-5.6 Terra has the edge on structured tool use. Fine-tuning is available from 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 monthDoubao Seed 2.1 TurboGPT-5.6 TerraGap
List priceno cache applied$104100M in × $0.42  +  30M out × $2.08$700100M in × $2.5  +  30M out × $156.73×gap
With caching90% of inputs cache-hit$104no published cache discount$58890M cached in × $1.25  +  10M in × $2.5  +  30M out × $155.65×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 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 Doubao Seed 2.1 Turbo ($$0.42/$$2.08 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose Doubao Seed 2.1 Turbo (effective context 90 vs 88).
07

Frequently asked questions

Is GPT-5.6 Terra worth the higher price over Doubao Seed 2.1 Turbo?
At list the input rate is 6.0x 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 2.1 Turbo 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 2.1 Turbo is about $104/month and GPT-5.6 Terra about $588/month after cache discounts ($104 and $700 at list).
Does the bigger context window actually matter?
Nominal windows are Doubao Seed 2.1 Turbo (256K) and GPT-5.6 Terra (1.05M), but usable recall follows the effective-context score (90 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 2.1 Turbo is the Chinese model (Chinese score 90, 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 one supports fine-tuning?
Doubao Seed 2.1 Turbo supports fine-tuning; GPT-5.6 Terra does not at this tier. If you plan to adapt the model to a narrow domain, that is a concrete differentiator.
Which handles multimodal inputs better?
Multimodal scores are 73 (Doubao Seed 2.1 Turbo) vs 69 (GPT-5.6 Terra), with modality coverage text/image/video versus text/image. Match the model to the input types your product actually receives.