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Comparison · 2 models · Updated Nov 2, 2026

Rnj-1 Instruct vs Qwen3 30B A3B

Qwen3 30B A3B comes out ahead, 55 to 50 on our weighted score, though Rnj-1 Instruct is 25% cheaper per token.

  1. Essential AI

    Rnj-1 Instruct

    Released Dec 4, 2025

    50/100
    • ECI—
    • Price$0.15 / $0.15
    • Context33K
    Full specs Remove Rnj-1 Instruct
  2. Our pick

    Alibaba (Qwen)

    Qwen3 30B A3B

    Released Apr 28, 2025

    55/100
    • ECI136.2
    • Price$0.108 / $0.475
    • Context131K
    Full specs Remove Qwen3 30B A3B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Qwen3 30B A3B is our pick

Qwen3 30B A3B is the better all-round choice, scoring 55/100 against Rnj-1 Instruct (50). It leads on inputs & features and context window. Rnj-1 Instruct wins 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 priceRnj-1 InstructRnj-1 Instruct $0.15 · Qwen3 30B A3B $0.20 per 1M tokens (3:1 blend)
  • Longest contextQwen3 30B A3BQwen3 30B A3B 131,072 · Rnj-1 Instruct 32,768 tokens
  • Widest inputsSame inputsRnj-1 Instruct: Text · Qwen3 30B A3B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightRnj-1 InstructQwen3 30B A3B
Price50%8580
Inputs & features30%2535
Context window20%025
Overall100%50/10055/100

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.

Rnj-1 Instruct vs Qwen3 30B A3B specifications side by side
SpecificationRnj-1 InstructEssential AIQwen3 30B A3BAlibaba (Qwen)
Capability
Capabilities Index (ECI)—136.2
ECI rank—#126 of 165
GPQA DiamondGraduate-level science questions—61.7%
OTIS Mock AIME 2024–2025Competition mathematics—62.8%
Price per million tokens
Input$0.15$0.108 (best)
Output$0.15 (best)$0.475
Cached input——
Blended (3:1)$0.15 (best)$0.20
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersMedian of 14 providers
Limits
Context window32,768 tokens131,072 tokens (best)
Max output32,768 tokens (best)16,384 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenApache 2.0Open
API model ID——
API providers114 (best)
ReleasedDec 4, 2025Apr 28, 2025
Knowledge cutoff——
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.

  • Rnj-1 Instruct$1.80
  • Qwen3 30B A3B$2.03
04 — Questions

Which should you choose?

Which is better: Rnj-1 Instruct or Qwen3 30B A3B?

Qwen3 30B A3B is the better all-round choice, scoring 55/100 against Rnj-1 Instruct (50). It leads on inputs & features and context window. Rnj-1 Instruct wins 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, Rnj-1 Instruct or Qwen3 30B A3B?

Rnj-1 Instruct is cheaper at $0.15 input / $0.15 output per million tokens (median across 1 API provider). Qwen3 30B A3B costs $0.108 input / $0.475 output per million tokens (median across 14 API providers). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Rnj-1 Instruct versus $0.20 for Qwen3 30B A3B (1.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Rnj-1 Instruct has not been scored yet and Qwen3 30B A3B has an ECI of 136.2.

Which is better for coding?

There are no published SWE-bench Verified results for Rnj-1 Instruct and Qwen3 30B A3B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Qwen3 30B A3B has the largest context window at 131,072 tokens, against 32,768 for Rnj-1 Instruct. Maximum output per response: Rnj-1 Instruct up to 32,768, Qwen3 30B A3B up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Rnj-1 Instruct accepts text; Qwen3 30B A3B accepts text. They handle the same number of input types.

Are any of these open source?

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

Which is newer?

Rnj-1 Instruct is the newest, released Dec 4, 2025. Qwen3 30B A3B came out Apr 28, 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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