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Comparison · 2 models · Updated Nov 2, 2026

Qwen3 30B-A3B Instruct 2507 vs ERNIE 4.5 VL 424B A47B

Qwen3 30B-A3B Instruct 2507 comes out ahead, 57 to 44 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Alibaba (Qwen)

    Qwen3 30B-A3B Instruct 2507

    Released Jul 28, 2025

    57/100
    • ECI137.3
    • Price$0.10 / $0.30
    • Context262K
    Full specs Remove Qwen3 30B-A3B Instruct 2507

  2. Baidu

    ERNIE 4.5 VL 424B A47B

    Released Jun 30, 2025

    44/100
    • ECI—
    • Price$0.42 / $1.25
    • Context123K
    Full specs Remove ERNIE 4.5 VL 424B A47B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Qwen3 30B-A3B Instruct 2507 is our pick

Qwen3 30B-A3B Instruct 2507 is the better all-round choice, scoring 57/100 against ERNIE 4.5 VL 424B A47B (44). It leads on price and context window. ERNIE 4.5 VL 424B A47B wins 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 priceQwen3 30B-A3B Instruct 2507Qwen3 30B-A3B Instruct 2507 $0.15 · ERNIE 4.5 VL 424B A47B $0.627 per 1M tokens (3:1 blend)
  • Longest contextQwen3 30B-A3B Instruct 2507Qwen3 30B-A3B Instruct 2507 262,144 · ERNIE 4.5 VL 424B A47B 123,000 tokens
  • Widest inputsERNIE 4.5 VL 424B A47B Qwen3 30B-A3B Instruct 2507: Text · ERNIE 4.5 VL 424B A47B : Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightQwen3 30B-A3B Instruct 2507ERNIE 4.5 VL 424B A47B
Price50%8557
Inputs & features30%2535
Context window20%3723
Overall100%57/10044/100

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.

Qwen3 30B-A3B Instruct 2507 vs ERNIE 4.5 VL 424B A47B specifications side by side
SpecificationQwen3 30B-A3B Instruct 2507Alibaba (Qwen)ERNIE 4.5 VL 424B A47B Baidu
Capability
Capabilities Index (ECI)137.3—
ECI rank#124 of 165—
GPQA DiamondGraduate-level science questions55.6%—
OTIS Mock AIME 2024–2025Competition mathematics62.2%—
Price per million tokens
Input$0.10 (best)$0.42
Output$0.30 (best)$1.25
Cached input——
Blended (3:1)$0.15 (best)$0.627
Long-context rateSame rateSame rate
Price sourceMedian of 12 providersMedian of 1 providers
Limits
Context window262,144 tokens (best)123,000 tokens
Max output16,384 tokens (best)16,000 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesNo
Structured outputNoNo
Availability
WeightsOpenApache 2.0Open
API model ID——
API providers14 (best)1
ReleasedJul 28, 2025Jun 30, 2025
Knowledge cutoff—Mar 31, 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.

  • Qwen3 30B-A3B Instruct 2507$1.60
  • ERNIE 4.5 VL 424B A47B $6.70
04 — Questions

Which should you choose?

Which is better: Qwen3 30B-A3B Instruct 2507 or ERNIE 4.5 VL 424B A47B ?

Qwen3 30B-A3B Instruct 2507 is the better all-round choice, scoring 57/100 against ERNIE 4.5 VL 424B A47B (44). It leads on price and context window. ERNIE 4.5 VL 424B A47B wins 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, Qwen3 30B-A3B Instruct 2507 or ERNIE 4.5 VL 424B A47B ?

Qwen3 30B-A3B Instruct 2507 is cheaper at $0.10 input / $0.30 output per million tokens (median across 12 API providers). ERNIE 4.5 VL 424B A47B costs $0.42 input / $1.25 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Qwen3 30B-A3B Instruct 2507 versus $0.627 for ERNIE 4.5 VL 424B A47B (4.2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen3 30B-A3B Instruct 2507 has an ECI of 137.3 and ERNIE 4.5 VL 424B A47B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 30B-A3B Instruct 2507 and ERNIE 4.5 VL 424B A47B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that ERNIE 4.5 VL 424B A47B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Qwen3 30B-A3B Instruct 2507 has the largest context window at 262,144 tokens, against 123,000 for ERNIE 4.5 VL 424B A47B . Maximum output per response: Qwen3 30B-A3B Instruct 2507 up to 16,384, ERNIE 4.5 VL 424B A47B up to 16,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3 30B-A3B Instruct 2507 accepts text; ERNIE 4.5 VL 424B A47B accepts text and images. ERNIE 4.5 VL 424B A47B handles the widest range of inputs.

Are any of these open source?

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

Which is newer?

Qwen3 30B-A3B Instruct 2507 is the newest, released Jul 28, 2025. ERNIE 4.5 VL 424B A47B came out Jun 30, 2025. Knowledge cutoff: ERNIE 4.5 VL 424B A47B Mar 31, 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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