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Comparison · 3 models · Updated Nov 2, 2026

GLM-4.5-Air vs Llama 3.3 Nemotron Super 49B v1.5 vs Qwen3 Omni 30B A3B Thinking

Qwen3 Omni 30B A3B Thinking comes out ahead, 59 to 48 and 48 on our weighted score, though Llama 3.3 Nemotron Super 49B v1.5 is 7% cheaper per token.

  1. Z.ai (Zhipu)

    GLM-4.5-Air

    Released Jul 28, 2025

    48/100
    • ECI—
    • Price$0.20 / $1.10
    • Context131K
    Full specs Remove GLM-4.5-Air

  2. 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
  3. Our pick

    Alibaba (Qwen)

    Qwen3 Omni 30B A3B Thinking

    Released Sep 22, 2025

    59/100
    • ECI—
    • Price$0.25 / $0.97
    • Context66K
    Full specs Remove Qwen3 Omni 30B A3B Thinking
01 — Verdict

Qwen3 Omni 30B A3B Thinking is our pick

Qwen3 Omni 30B A3B Thinking is the better all-round choice, scoring 59/100 against Llama 3.3 Nemotron Super 49B v1.5 (48) and GLM-4.5-Air (48). It leads on inputs & features. 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 priceLlama 3.3 Nemotron Super 49B v1.5Llama 3.3 Nemotron Super 49B v1.5 $0.40 · GLM-4.5-Air $0.425 · Qwen3 Omni 30B A3B Thinking $0.43 per 1M tokens (3:1 blend)
  • Longest contextGLM-4.5-Air and Llama 3.3 Nemotron Super 49B v1.5GLM-4.5-Air 131,072 · Llama 3.3 Nemotron Super 49B v1.5 131,072 · Qwen3 Omni 30B A3B Thinking 65,536 tokens
  • Widest inputsQwen3 Omni 30B A3B ThinkingGLM-4.5-Air: Text · Llama 3.3 Nemotron Super 49B v1.5: Text · Qwen3 Omni 30B A3B Thinking: Text, Images, Audio, Video
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGLM-4.5-AirLlama 3.3 Nemotron Super 49B v1.5Qwen3 Omni 30B A3B Thinking
Price50%656664
Inputs & features30%353580
Context window20%252512
Overall100%48/10048/10059/100

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.

GLM-4.5-Air vs Llama 3.3 Nemotron Super 49B v1.5 vs Qwen3 Omni 30B A3B Thinking specifications side by side
SpecificationGLM-4.5-AirZ.ai (Zhipu)Llama 3.3 Nemotron Super 49B v1.5NVIDIAQwen3 Omni 30B A3B ThinkingAlibaba (Qwen)
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.20 (best)$0.40$0.25
Output$1.10$0.40 (best)$0.97
Cached input$0.03——
Blended (3:1)$0.425$0.40 (best)$0.43
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Z.AI APIMedian of 1 providersMedian of 1 providers
Limits
Context window131,072 tokens (best)131,072 tokens (best)65,536 tokens
Max output98,304 tokens131,072 tokens (best)16,384 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoNo
AudioNoNoYes
VideoNoNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenOpenOpenApache-2.0
API model IDglm-4.5-air——
API providers19 (best)11
ReleasedJul 28, 2025Jul 25, 2025Sep 22, 2025
Knowledge cutoffApr 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.

  • GLM-4.5-Air$4.20
  • Llama 3.3 Nemotron Super 49B v1.5$4.80
  • Qwen3 Omni 30B A3B Thinking$4.44
04 — Questions

Which should you choose?

Which is better: GLM-4.5-Air, Llama 3.3 Nemotron Super 49B v1.5 or Qwen3 Omni 30B A3B Thinking?

Qwen3 Omni 30B A3B Thinking is the better all-round choice, scoring 59/100 against Llama 3.3 Nemotron Super 49B v1.5 (48) and GLM-4.5-Air (48). It leads on inputs & features. 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, GLM-4.5-Air, Llama 3.3 Nemotron Super 49B v1.5 or Qwen3 Omni 30B A3B Thinking?

Llama 3.3 Nemotron Super 49B v1.5 is cheaper at $0.40 input / $0.40 output per million tokens (median across 1 API provider). GLM-4.5-Air costs $0.20 input / $1.10 output per million tokens (official Z.AI API price); Qwen3 Omni 30B A3B Thinking costs $0.25 input / $0.97 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.40 per million tokens for Llama 3.3 Nemotron Super 49B v1.5 versus $0.425 for GLM-4.5-Air (1.1× as much) and $0.43 for Qwen3 Omni 30B A3B Thinking (1.1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. GLM-4.5-Air has not been scored yet, Llama 3.3 Nemotron Super 49B v1.5 has not been scored yet and Qwen3 Omni 30B A3B Thinking has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.5-Air, Llama 3.3 Nemotron Super 49B v1.5 and Qwen3 Omni 30B A3B Thinking 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?

GLM-4.5-Air and Llama 3.3 Nemotron Super 49B v1.5 have the largest context windows (131,072 and 131,072 tokens), against 65,536 for Qwen3 Omni 30B A3B Thinking. Maximum output per response: GLM-4.5-Air up to 98,304, Llama 3.3 Nemotron Super 49B v1.5 up to 131,072, Qwen3 Omni 30B A3B Thinking up to 16,384 tokens.

Which can read images, PDFs, audio or video?

GLM-4.5-Air accepts text; Llama 3.3 Nemotron Super 49B v1.5 accepts text; Qwen3 Omni 30B A3B Thinking accepts text, images, audio and video. Qwen3 Omni 30B A3B Thinking handles the widest range of inputs.

Are any of these open source?

Yes, all three publish their weights (Apache-2.0), so you can self-host them.

Which is newer?

Qwen3 Omni 30B A3B Thinking is the newest, released Sep 22, 2025. GLM-4.5-Air came out Jul 28, 2025; Llama 3.3 Nemotron Super 49B v1.5 came out Jul 25, 2025. Knowledge cutoff: GLM-4.5-Air 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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