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

GLM-5.2 vs Doubao Seed Evolving

GLM-5.2 wins on Overall; Doubao Seed Evolving wins on Coding, Multimodal. Every numeric field is compared below, with a worked monthly-cost example and a pick rule for each use case.

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

Verdict at a glance

Bottom line: Choose GLM-5.2 when lower refusal matter most; choose Doubao Seed Evolving when lower cost, lower latency is the priority.

Choose GLM-5.2 if you…

  • Strong open-source ecosystem
  • Good Chinese
  • Mature enterprise services
  • Best for: Chinese, Open source, Coding

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.

GLM-5.2 Higher overall
Zhipu AI · #10 overall
Overall73
Coding66
Multimodal79
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.

DimensionGLM-5.2Doubao Seed EvolvingVerdict
VendorZhipu AI (CN)ByteDance (CN)Different vendors
Released2026.062026.07Doubao Seed Evolving is newer
Overall (rank)73 · #1068 · #15GLM-5.2 +5
Coding66 · #1567 · #14Doubao Seed Evolving +1
Multimodal79 · #1283 · #9Doubao Seed Evolving +4
Context window128K1MDoubao Seed Evolving larger
Max output64K256KGLM-5.2 longer
Effective-context8892Doubao Seed Evolving more reliable
Input $/1M$1.4$0.83Doubao Seed Evolving cheaper
Output $/1M$4.4$4.17Doubao Seed Evolving cheaper
Cache discountnonecustomDoubao Seed Evolving deeper
Speed~50 tok/s~60 tok/sDoubao Seed Evolving faster
TTFT0.6s0.5sDoubao Seed Evolving snappier
Function calling8082Doubao Seed Evolving ahead
Refusal rate~8%~10%GLM-5.2 less restrictive
English7070Tie
Chinese9093Doubao Seed Evolving
Modalitiestext, imagetext, imageSame
Open weightsYesNoGLM-5.2 is open
Fine-tuningYesNo
Free tierChatGLM free; free quota on the open platformDoubao App free
SOC2 / no-trainno / yesno / yes
Private deploymentYesYesBoth support it

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

GLM-5.2 leads the overall aggregate by 5 points (73 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: Doubao Seed Evolving scores 67 against 66. On multi-file edits, SWE-style tickets and long-horizon agent loops Doubao Seed Evolving needs fewer correction turns; GLM-5.2 is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Doubao Seed Evolving leads multimodal 83 vs 79. 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 ~50 tok/s with 0.6s 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 128K for GLM-5.2 and 1M for Doubao Seed Evolving. Effective-context scores point the same way as window size — Doubao Seed Evolving is ahead on usable recall (92 vs 88), 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 GLM-5.2 at $1.4/$4.4 per 1M input/output tokens — list input is about 1.7× lower.

Chinese vs English

English: GLM-5.2 70 vs Doubao Seed Evolving 70. Chinese: 90 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: GLM-5.2 80 vs Doubao Seed Evolving 82, so Doubao Seed Evolving has the edge on structured tool use. Fine-tuning is available from GLM-5.2. 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 monthGLM-5.2Doubao Seed EvolvingGap
List priceno cache applied$272100M in × $1.4  +  30M out × $4.4$208100M in × $0.83  +  30M out × $4.171.31×gap
With caching90% of inputs cache-hit$272no published cache discount$208no published cache discount1.31×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 Doubao Seed Evolving (coding 67 vs 66).
IF you serve real-time users and latency is a product KPI  →  choose Doubao Seed Evolving (~60 tok/s, 0.5s TTFT).
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).
07

Frequently asked questions

How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, GLM-5.2 is about $272/month and Doubao Seed Evolving about $208/month after cache discounts ($272 and $208 at list).
Does the bigger context window actually matter?
Nominal windows are GLM-5.2 (128K) and Doubao Seed Evolving (1M), but usable recall follows the effective-context score (88 vs 92). Prefer the higher effective-context model for long-document work where nothing can be missed.
Can I self-host either model?
GLM-5.2 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.
Which one supports fine-tuning?
GLM-5.2 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.
What is the single-line recommendation?
Choose GLM-5.2 for Chinese, Open source; choose Doubao Seed Evolving for Chinese, Long context.
How quickly do these rankings change?
Modelspectra refreshes the aggregate as new public benchmarks and prices appear. Treat scores within 3 points as a tie and re-check before a committed purchase.