Decision support

ERNIE 4.5 VL 424B A47B vs Qwen3 VL 235B A22B Instruct

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

Benchmark results

  • Arena Text

    Arena rating · Higher is better

    • ERNIE 4.5 VL 424B A47B
      Not reported
    • Qwen3 VL 235B A22B Instruct
      1413
      Arena #150CI 1407 to 1420
    Runs and sources
    ERNIE 4.5 VL 424B A47B

    Not reported

    Qwen3 VL 235B A22B Instruct
    • default141395% CI 1407 to 1420 · 11,288 votes
  • Arena Vision

    Arena rating · Higher is better

    • ERNIE 4.5 VL 424B A47B
      Not reported
    • Qwen3 VL 235B A22B Instruct
      1214
      Arena #84CI 1208 to 1221
    Runs and sources
    ERNIE 4.5 VL 424B A47B

    Not reported

    Qwen3 VL 235B A22B Instruct
    • default121495% CI 1208 to 1221 · 12,672 votes

Each model's best published result is shown; "Not reported" means no matched evaluation, not a score of zero. Arena and DeepSWE ranks are the leaderboards' own; other ranks are among catalogue models with a score. Results from different harnesses or settings are not directly comparable.

Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.

Model specifications

Release date
June 30, 2025
September 23, 2025
Context window
123K
262K
Native context
—
256K
Max output tokens
16,000
32,768
Knowledge cutoff
2025-03-31
2025-03-31
Open weights
Open weights
Open weights
Parameter count
424B
235B

API pricing · USD per 1M tokens

Input
$0.42
$0.21
Output
$1.25
$1.90
Cached input
—
$0.10
Cache write
—
—

Capabilities and modalities

Input modalities
image, text
text, image
Output modalities
text
text
Tool calling
—
Supported
Reasoning option
Supported
—
Supported options
frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, repetition_penalty, seed, stop, temperature, top_k, top_p
frequency_penalty, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
Other
Qwen3
Instruction format
—
—
License
Apache 2.0
—
Providers
0
3
Provider endpoints
0
3
Ollama variants
0
36
Metadata source
ai-research
ai-research

A dash means the field is not reported. Provider-specific performance and pricing may differ.

To give you the best experience, we use cookies for personalization, insights, and performance. Learn more.