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

Gemini 3.1 Pro vs Doubao Seed Evolving

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 matter most; choose Doubao Seed Evolving when lower cost 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 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 22 tracked models.

Gemini 3.1 Pro Higher overall
Google · #3 overall
Overall83
Coding74
Multimodal92
VS
Doubao Seed Evolving
ByteDance · #15 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.

DimensionGemini 3.1 ProDoubao Seed EvolvingVerdict
VendorGoogle (US)ByteDance (CN)Different vendors
Released2026.052026.07Doubao Seed Evolving is newer
Overall (rank)83 · #368 · #15Gemini 3.1 Pro +15
Coding74 · #967 · #14Gemini 3.1 Pro +7
Multimodal92 · #283 · #9Gemini 3.1 Pro +9
Context window2M1MGemini 3.1 Pro larger
Max output128K256KDoubao Seed Evolving longer
Effective-context9292Tie
Input $/1M$2$0.83Doubao Seed Evolving cheaper
Output $/1M$12$4.17Doubao Seed Evolving cheaper
Cache discountnonecustomDoubao Seed Evolving deeper
Speed~60 tok/s~60 tok/sTie
TTFT0.7s0.5sDoubao Seed Evolving snappier
Function calling7882Doubao Seed Evolving ahead
Refusal rate~12%~10%Doubao Seed Evolving less restrictive
English9070Gemini 3.1 Pro
Chinese7593Doubao Seed Evolving
Modalitiestext, image, audio, videotext, imagedifferent coverage
Open weightsNoNoBoth closed
Fine-tuningYesNo
Free tierGemini App free with limited quota; API free tier availableDoubao App free
SOC2 / no-trainyes / yesno / yes
Private deploymentNoYesDoubao 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

Gemini 3.1 Pro leads the overall aggregate by 15 points (83 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 modest gap: Gemini 3.1 Pro scores 74 against 67. On multi-file edits, SWE-style tickets and long-horizon agent loops Gemini 3.1 Pro needs fewer correction turns; Doubao Seed Evolving is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Gemini 3.1 Pro leads multimodal 92 vs 83. A concrete modality difference: Gemini 3.1 Pro additionally handles audio, video.

Speed & latency

Gemini 3.1 Pro is faster in interactive use: ~60 tok/s with 0.7s 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 2M for Gemini 3.1 Pro and 1M for Doubao Seed Evolving. Effective-context scores point the same way as window size — Gemini 3.1 Pro is ahead on usable recall (92 vs 92), so prefer it for long-document work where details cannot be missed.

Price & total cost

Doubao Seed Evolving is the cheaper API at $0.83/$4.17 versus Gemini 3.1 Pro at $2/$12 per 1M input/output tokens — list input is about 2.4× lower.

Chinese vs English

English: Gemini 3.1 Pro 90 vs Doubao Seed Evolving 70. Chinese: 75 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: Gemini 3.1 Pro 78 vs Doubao Seed Evolving 82, so Doubao Seed Evolving has the edge on structured tool use. Fine-tuning is available from Gemini 3.1 Pro. 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 EvolvingGap
List priceno cache applied$560100M in × $2  +  30M out × $12$208100M in × $0.83  +  30M out × $4.172.69×gap
With caching90% of inputs cache-hit$560no published cache discount$208no published cache discount2.69×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 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 the product is Chinese-first  →  choose Doubao Seed Evolving (Chinese 93 vs 75).
07

Frequently asked questions

Is Gemini 3.1 Pro worth the higher price over Doubao Seed Evolving?
At list the input rate is 2.4x 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 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, Gemini 3.1 Pro is about $560/month and Doubao Seed Evolving about $208/month after cache discounts ($560 and $208 at list).
Does the bigger context window actually matter?
Nominal windows are Gemini 3.1 Pro (2M) and Doubao Seed Evolving (1M), but usable recall follows the effective-context score (92 vs 92). 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 Gemini 3.1 Pro is the global model (Chinese 75, overseas API). Pick by language quality, access path and where data must reside.
Which one supports fine-tuning?
Gemini 3.1 Pro supports fine-tuning; Doubao Seed Evolving 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 92 (Gemini 3.1 Pro) vs 83 (Doubao Seed Evolving), with modality coverage text/image/audio/video versus text/image. Match the model to the input types your product actually receives.