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

Gemini 3.1 Pro vs Doubao Seed 2.1 Turbo

Gemini 3.1 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.

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

Verdict at a glance

Bottom line: Choose Gemini 3.1 Pro when coding depth, long-context reliability matter most; choose Doubao Seed 2.1 Turbo when lower cost, lower latency is the priority.

Choose Gemini 3.1 Pro if you…

  • Native audio and video
  • Strong scientific computing
  • Largest 2M context
  • Search integration
  • Best for: Multimodal, Scientific reasoning, Audio & video

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.

Gemini 3.1 Pro Higher overall
Google · #3 overall
Overall83
Coding74
Multimodal92
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.

DimensionGemini 3.1 ProDoubao Seed 2.1 TurboVerdict
VendorGoogle (US)ByteDance (CN)Different vendors
Released2026.052026.06Doubao Seed 2.1 Turbo is newer
Overall (rank)83 · #363 · #20Gemini 3.1 Pro +20
Coding74 · #961 · #19Gemini 3.1 Pro +13
Multimodal92 · #273 · #17Gemini 3.1 Pro +19
Context window2M256KGemini 3.1 Pro larger
Max output128K256KDoubao Seed 2.1 Turbo longer
Effective-context9290Gemini 3.1 Pro more reliable
Input $/1M$2$0.42Doubao Seed 2.1 Turbo cheaper
Output $/1M$12$2.08Doubao Seed 2.1 Turbo cheaper
Cache discountnonecustomDoubao Seed 2.1 Turbo deeper
Speed~60 tok/s~75 tok/sDoubao Seed 2.1 Turbo faster
TTFT0.7s0.4sDoubao Seed 2.1 Turbo snappier
Function calling7880Doubao Seed 2.1 Turbo ahead
Refusal rate~12%~10%Doubao Seed 2.1 Turbo less restrictive
English9068Gemini 3.1 Pro
Chinese7590Doubao Seed 2.1 Turbo
Modalitiestext, image, audio, videotext, image, videodifferent coverage
Open weightsNoNoBoth closed
Fine-tuningYesYes
Free tierGemini App free with limited quota; API free tier availableDoubao App free
SOC2 / no-trainyes / yesno / yes
Private deploymentNoYesDoubao 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

Gemini 3.1 Pro leads the overall aggregate by 20 points (83 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: Gemini 3.1 Pro scores 74 against 61. On multi-file edits, SWE-style tickets and long-horizon agent loops Gemini 3.1 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

Gemini 3.1 Pro leads multimodal 92 vs 73. A concrete modality difference: Gemini 3.1 Pro additionally handles audio. Both accept video, so weigh their video-understanding reliability, not mere support.

Speed & latency

Doubao Seed 2.1 Turbo is faster in interactive use: ~75 tok/s with 0.4s TTFT versus ~60 tok/s with 0.7s 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 2M for Gemini 3.1 Pro and 256K for Doubao Seed 2.1 Turbo. Effective-context scores point the same way as window size — Gemini 3.1 Pro is ahead on usable recall (92 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 Gemini 3.1 Pro at $2/$12 per 1M input/output tokens — list input is about 4.8× lower.

Chinese vs English

English: Gemini 3.1 Pro 90 vs Doubao Seed 2.1 Turbo 68. Chinese: 75 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: Gemini 3.1 Pro 78 vs Doubao Seed 2.1 Turbo 80, so Doubao Seed 2.1 Turbo has the edge on structured tool use. Fine-tuning is available from Gemini 3.1 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 monthGemini 3.1 ProDoubao Seed 2.1 TurboGap
List priceno cache applied$560100M in × $2  +  30M out × $12$104100M in × $0.42  +  30M out × $2.085.38×gap
With caching90% of inputs cache-hit$560no published cache discount$104no published cache discount5.38×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 Gemini 3.1 Pro (coding 74 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 Gemini 3.1 Pro (effective context 92 vs 90).
07

Frequently asked questions

Is Gemini 3.1 Pro worth the higher price over Doubao Seed 2.1 Turbo?
At list the input rate is 4.8x higher, but cache discounts and output pricing narrow the effective gap. Pay the premium when Gemini 3.1 Pro's stronger dimensions protect revenue; for routine volume Doubao Seed 2.1 Turbo is the economical pick.
Which is better for agentic coding?
Gemini 3.1 Pro is decisively stronger for coding (74 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.
How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, Gemini 3.1 Pro is about $560/month and Doubao Seed 2.1 Turbo about $104/month after cache discounts ($560 and $104 at list).
Does the bigger context window actually matter?
Nominal windows are Gemini 3.1 Pro (2M) and Doubao Seed 2.1 Turbo (256K), but usable recall follows the effective-context score (92 vs 90). 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 Gemini 3.1 Pro is the global model (Chinese 75, overseas API). Pick by language quality, access path and where data must reside.
Which handles multimodal inputs better?
Multimodal scores are 92 (Gemini 3.1 Pro) vs 73 (Doubao Seed 2.1 Turbo), with modality coverage text/image/audio/video versus text/image/video. Match the model to the input types your product actually receives.