ZMIME
Comparison · 3 models · Updated Oct 4, 2026

DeepSeek V4 Pro vs GLM-5V-Turbo vs Seed 2.1 Pro

Too close to call on our weighted score (Seed 2.1 Pro 50, GLM-5V-Turbo 49, DeepSeek V4 Pro 45). The right pick depends on what you value most.

  1. DeepSeek

    DeepSeek V4 Pro

    Released Apr 24, 2026

    45/100
    • ECI—
    • Price$1.32 / $3.00
    • Context1M
  2. Z.ai (Zhipu)

    GLM-5V-Turbo

    Released Apr 1, 2026

    49/100
    • ECI—
    • Price$1.20 / $4.00
    • Context200K
  3. ByteDance Seed

    Seed 2.1 Pro

    Released Jun 23, 2026

    50/100
    • ECI—
    • Price$0.891 / $4.45
    • Context256K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Seed 2.1 Pro 50/100, GLM-5V-Turbo 49/100, DeepSeek V4 Pro 45/100), so choose by what matters most for your work: DeepSeek V4 Pro on price and DeepSeek V4 Pro for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceDeepSeek V4 ProDeepSeek V4 Pro $1.74 · Seed 2.1 Pro $1.78 · GLM-5V-Turbo $1.90 per 1M tokens (3:1 blend)
  • Longest contextDeepSeek V4 ProDeepSeek V4 Pro 1,000,000 · Seed 2.1 Pro 256,000 · GLM-5V-Turbo 200,000 tokens
  • Widest inputsGLM-5V-TurboDeepSeek V4 Pro: Text · GLM-5V-Turbo: Text, Images, PDFs, Video · Seed 2.1 Pro: Text, Images, Video
  • Self-hostingDeepSeek V4 ProPublishes downloadable weights
How the score is built
MeasureWeightDeepSeek V4 ProGLM-5V-TurboSeed 2.1 Pro
Price50%383738
Inputs & features30%458080
Context window20%603236
Overall100%45/10049/10050/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

DeepSeek V4 Pro vs GLM-5V-Turbo vs Seed 2.1 Pro specifications side by side
SpecificationDeepSeek V4 ProDeepSeekGLM-5V-TurboZ.ai (Zhipu)Seed 2.1 ProByteDance Seed
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.32$1.20$0.891 (best)
Output$3.00 (best)$4.00$4.45
Cached input—$0.24$0.178 (best)
Blended (3:1)$1.74 (best)$1.90$1.78
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 49 providersOfficial Z.AI APIOfficial Volcengine Ark API
Limits
Context window1,000,000 tokens (best)200,000 tokens256,000 tokens
Max output384,000 tokens (best)131,072 tokens256,000 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoYesNo
AudioNoNoNo
VideoNoYesYes
ReasoningYesYesYesminimal · low · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsOpenProprietaryProprietary
API model ID—glm-5v-turbodoubao-seed-2-1-pro-260628
API providers52 (best)142
ReleasedApr 24, 2026Apr 1, 2026Jun 23, 2026
Knowledge cutoffMay 2025——
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • DeepSeek V4 Pro$19.20
  • GLM-5V-Turbo$20.00
  • Seed 2.1 Pro$17.81
04 — Questions

Which should you choose?

Which is better: DeepSeek V4 Pro, GLM-5V-Turbo or Seed 2.1 Pro?

It is close. Our weighted score puts them within 2 points (Seed 2.1 Pro 50/100, GLM-5V-Turbo 49/100, DeepSeek V4 Pro 45/100), so choose by what matters most for your work: DeepSeek V4 Pro on price and DeepSeek V4 Pro for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, DeepSeek V4 Pro, GLM-5V-Turbo or Seed 2.1 Pro?

DeepSeek V4 Pro is cheaper at $1.32 input / $3.00 output per million tokens (median across 49 API providers). Seed 2.1 Pro costs $0.891 input / $4.45 output per million tokens (official Volcengine Ark API price); GLM-5V-Turbo costs $1.20 input / $4.00 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $1.74 per million tokens for DeepSeek V4 Pro versus $1.78 for Seed 2.1 Pro (1× as much) and $1.90 for GLM-5V-Turbo (1.1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. DeepSeek V4 Pro has not been scored yet, GLM-5V-Turbo has not been scored yet and Seed 2.1 Pro has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek V4 Pro, GLM-5V-Turbo and Seed 2.1 Pro yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

DeepSeek V4 Pro has the largest context window at 1,000,000 tokens, against 256,000 for Seed 2.1 Pro and 200,000 for GLM-5V-Turbo. Maximum output per response: DeepSeek V4 Pro up to 384,000, GLM-5V-Turbo up to 131,072, Seed 2.1 Pro up to 256,000 tokens.

Which can read images, PDFs, audio or video?

DeepSeek V4 Pro accepts text; GLM-5V-Turbo accepts text, images, PDFs and video; Seed 2.1 Pro accepts text, images and video. GLM-5V-Turbo handles the widest range of inputs.

Are any of these open source?

DeepSeek V4 Pro publishes its weights and can be self-hosted; GLM-5V-Turbo and Seed 2.1 Pro is proprietary.

Which is newer?

Seed 2.1 Pro is the newest, released Jun 23, 2026. DeepSeek V4 Pro came out Apr 24, 2026; GLM-5V-Turbo came out Apr 1, 2026. Knowledge cutoff: DeepSeek V4 Pro May 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.