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Comparison · 3 models · Updated Nov 2, 2026

Llama 3.3 Nemotron Super 49B v1.5 vs Solar Pro 2 vs GLM-4.5-Air

Too close to call on our weighted score (Solar Pro 2 51, Llama 3.3 Nemotron Super 49B v1.5 48, GLM-4.5-Air 48). The right pick depends on what you value most.

  1. 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

  2. Upstage

    Solar Pro 2

    Released May 20, 2025

    51/100
    • ECI—
    • Price$0.25 / $0.25
    • Context66K
    Full specs Remove Solar Pro 2

  3. 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
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Solar Pro 2 51/100, Llama 3.3 Nemotron Super 49B v1.5 48/100, GLM-4.5-Air 48/100), so choose by what matters most for your work: Solar Pro 2 on price. 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 priceSolar Pro 2Solar Pro 2 $0.25 · Llama 3.3 Nemotron Super 49B v1.5 $0.40 · GLM-4.5-Air $0.425 per 1M tokens (3:1 blend)
  • Longest contextLlama 3.3 Nemotron Super 49B v1.5 and GLM-4.5-AirLlama 3.3 Nemotron Super 49B v1.5 131,072 · GLM-4.5-Air 131,072 · Solar Pro 2 65,536 tokens
  • Widest inputsSame inputsLlama 3.3 Nemotron Super 49B v1.5: Text · Solar Pro 2: Text · GLM-4.5-Air: Text
  • Self-hostingLlama 3.3 Nemotron Super 49B v1.5 and GLM-4.5-AirPublishes downloadable weights
How the score is built
MeasureWeightLlama 3.3 Nemotron Super 49B v1.5Solar Pro 2GLM-4.5-Air
Price50%667565
Inputs & features30%353535
Context window20%251225
Overall100%48/10051/10048/100

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.

Llama 3.3 Nemotron Super 49B v1.5 vs Solar Pro 2 vs GLM-4.5-Air specifications side by side
SpecificationLlama 3.3 Nemotron Super 49B v1.5NVIDIASolar Pro 2UpstageGLM-4.5-AirZ.ai (Zhipu)
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.40$0.25$0.20 (best)
Output$0.40$0.25 (best)$1.10
Cached input——$0.03
Blended (3:1)$0.40$0.25 (best)$0.425
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Upstage APIOfficial Z.AI API
Limits
Context window131,072 tokens (best)65,536 tokens131,072 tokens (best)
Max output131,072 tokens (best)8,192 tokens98,304 tokens
Inputs and features
TextYesYesYes
ImagesNoNoNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesminimal · highYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenProprietaryOpen
API model ID—solar-pro2glm-4.5-air
API providers1219 (best)
ReleasedJul 25, 2025May 20, 2025Jul 28, 2025
Knowledge cutoff—Mar 2025Apr 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.

  • Llama 3.3 Nemotron Super 49B v1.5$4.80
  • Solar Pro 2$3.00
  • GLM-4.5-Air$4.20
04 — Questions

Which should you choose?

Which is better: Llama 3.3 Nemotron Super 49B v1.5, Solar Pro 2 or GLM-4.5-Air?

It is close. Our weighted score puts them within 2 points (Solar Pro 2 51/100, Llama 3.3 Nemotron Super 49B v1.5 48/100, GLM-4.5-Air 48/100), so choose by what matters most for your work: Solar Pro 2 on price. 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, Llama 3.3 Nemotron Super 49B v1.5, Solar Pro 2 or GLM-4.5-Air?

Solar Pro 2 is cheaper at $0.25 input / $0.25 output per million tokens (official Upstage 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-4.5-Air costs $0.20 input / $1.10 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Solar Pro 2 versus $0.40 for Llama 3.3 Nemotron Super 49B v1.5 (1.6× as much) and $0.425 for GLM-4.5-Air (1.7× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Llama 3.3 Nemotron Super 49B v1.5 has not been scored yet, Solar Pro 2 has not been scored yet and GLM-4.5-Air has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Llama 3.3 Nemotron Super 49B v1.5, Solar Pro 2 and GLM-4.5-Air 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?

Llama 3.3 Nemotron Super 49B v1.5 and GLM-4.5-Air have the largest context windows (131,072 and 131,072 tokens), against 65,536 for Solar Pro 2. Maximum output per response: Llama 3.3 Nemotron Super 49B v1.5 up to 131,072, Solar Pro 2 up to 8,192, GLM-4.5-Air up to 98,304 tokens.

Which can read images, PDFs, audio or video?

Llama 3.3 Nemotron Super 49B v1.5 accepts text; Solar Pro 2 accepts text; GLM-4.5-Air accepts text. They handle the same number of input types.

Are any of these open source?

Llama 3.3 Nemotron Super 49B v1.5 and GLM-4.5-Air publishes its weights and can be self-hosted; Solar Pro 2 is proprietary.

Which is newer?

GLM-4.5-Air is the newest, released Jul 28, 2025. Llama 3.3 Nemotron Super 49B v1.5 came out Jul 25, 2025; Solar Pro 2 came out May 20, 2025. Knowledge cutoff: Solar Pro 2 Mar 2025, 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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