ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Seed 1.6 Vision vs GLM-4.7 vs Llama 3.3 Nemotron Super 49B v1.5

Seed 1.6 Vision comes out ahead, 61 to 48 and 41 on our weighted score, and it is the cheaper option too.

  1. Our pick

    ByteDance Seed

    Seed 1.6 Vision

    Released Aug 15, 2025Deprecated

    61/100
    • ECI—
    • Price$0.119 / $1.19
    • Context256K
    Full specs Remove Seed 1.6 Vision

  2. Z.ai (Zhipu)

    GLM-4.7

    Released Dec 22, 2025

    41/100
    • ECI143.7
    • Price$0.60 / $2.20
    • Context205K
    Full specs Remove GLM-4.7

  3. NVIDIA

    Llama 3.3 Nemotron Super 49B v1.5

    Released Jul 25, 2025

    48/100
    • ECI—
    • Price$0.40 / $0.40
    • Context131K
    Full specs Remove Llama 3.3 Nemotron Super 49B v1.5
01 — Verdict

Seed 1.6 Vision is our pick

Seed 1.6 Vision is the better all-round choice, scoring 61/100 against Llama 3.3 Nemotron Super 49B v1.5 (48) and GLM-4.7 (41). It leads on inputs & features and context window. 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 priceSeed 1.6 VisionSeed 1.6 Vision $0.386 · Llama 3.3 Nemotron Super 49B v1.5 $0.40 · GLM-4.7 $1.00 per 1M tokens (3:1 blend)
  • Longest contextSeed 1.6 VisionSeed 1.6 Vision 256,000 · GLM-4.7 204,800 · Llama 3.3 Nemotron Super 49B v1.5 131,072 tokens
  • Widest inputsSeed 1.6 VisionSeed 1.6 Vision: Text, Images · GLM-4.7: Text · Llama 3.3 Nemotron Super 49B v1.5: Text
  • Self-hostingGLM-4.7 and Llama 3.3 Nemotron Super 49B v1.5Publishes downloadable weights
How the score is built
MeasureWeightSeed 1.6 VisionGLM-4.7Llama 3.3 Nemotron Super 49B v1.5
Price50%674866
Inputs & features30%703535
Context window20%363225
Overall100%61/10041/10048/100

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.

Seed 1.6 Vision vs GLM-4.7 vs Llama 3.3 Nemotron Super 49B v1.5 specifications side by side
SpecificationSeed 1.6 VisionByteDance SeedGLM-4.7Z.ai (Zhipu)Llama 3.3 Nemotron Super 49B v1.5NVIDIA
Capability
Capabilities Index (ECI)—143.7—
ECI rank—#94 of 165—
GPQA DiamondGraduate-level science questions—83.3%—
OTIS Mock AIME 2024–2025Competition mathematics—83.3%—
SimpleQA VerifiedShort factual questions—32.2%—
Price per million tokens
Input$0.119 (best)$0.60$0.40
Output$1.19$2.20$0.40 (best)
Cached input$0.024 (best)$0.11—
Blended (3:1)$0.386 (best)$1.00$0.40
Long-context rateOver 32K: $0.178 / $2.37Same rateSame rate
Price sourceOfficial Volcengine Ark APIOfficial Z.AI APIMedian of 1 providers
Limits
Context window256,000 tokens (best)204,800 tokens131,072 tokens
Max output32,000 tokens131,072 tokens (best)131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsProprietaryOpenOpen
API model IDdoubao-seed-1-6-vision-250815glm-4.7—
API providers231 (best)1
ReleasedAug 15, 2025Dec 22, 2025Jul 25, 2025
Knowledge cutoff—Apr 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.

  • Seed 1.6 Vision$3.56
  • GLM-4.7$10.40
  • Llama 3.3 Nemotron Super 49B v1.5$4.80
04 — Questions

Which should you choose?

Which is better: Seed 1.6 Vision, GLM-4.7 or Llama 3.3 Nemotron Super 49B v1.5?

Seed 1.6 Vision is the better all-round choice, scoring 61/100 against Llama 3.3 Nemotron Super 49B v1.5 (48) and GLM-4.7 (41). It leads on inputs & features and context window. 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, Seed 1.6 Vision, GLM-4.7 or Llama 3.3 Nemotron Super 49B v1.5?

Seed 1.6 Vision is cheaper at $0.119 input / $1.19 output per million tokens (official Volcengine Ark API price). Llama 3.3 Nemotron Super 49B v1.5 costs $0.40 input / $0.40 output per million tokens (median across 1 API provider); GLM-4.7 costs $0.60 input / $2.20 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.386 per million tokens for Seed 1.6 Vision versus $0.40 for Llama 3.3 Nemotron Super 49B v1.5 (1× as much) and $1.00 for GLM-4.7 (2.6× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Seed 1.6 Vision has not been scored yet, GLM-4.7 has an ECI of 143.7 and Llama 3.3 Nemotron Super 49B v1.5 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Seed 1.6 Vision, GLM-4.7 and Llama 3.3 Nemotron Super 49B v1.5 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?

Seed 1.6 Vision has the largest context window at 256,000 tokens, against 204,800 for GLM-4.7 and 131,072 for Llama 3.3 Nemotron Super 49B v1.5. Maximum output per response: Seed 1.6 Vision up to 32,000, GLM-4.7 up to 131,072, Llama 3.3 Nemotron Super 49B v1.5 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Seed 1.6 Vision accepts text and images; GLM-4.7 accepts text; Llama 3.3 Nemotron Super 49B v1.5 accepts text. Seed 1.6 Vision handles the widest range of inputs.

Are any of these open source?

GLM-4.7 and Llama 3.3 Nemotron Super 49B v1.5 publishes its weights and can be self-hosted; Seed 1.6 Vision is proprietary.

Which is newer?

GLM-4.7 is the newest, released Dec 22, 2025. Seed 1.6 Vision came out Aug 15, 2025; Llama 3.3 Nemotron Super 49B v1.5 came out Jul 25, 2025. Knowledge cutoff: GLM-4.7 Apr 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 Nov 2, 2026.

05 — Keep comparing

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