LLM Comparison
ERNIE 4.5 VL 28B A3B vs Claude Opus 4.7
Side-by-side specs, pricing & capabilities · Updated May 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 71 4.7 | |
| Family | ERNIE | Claude |
| Status | Current | Current |
| Release Date | Aug 2025 | Apr 2026 |
| Context Window | 30K tokens | 1.0M tokens |
| Input Price | $0.14/M tokens | $5.00/M tokens |
| Output Price | $0.56/M tokens | $25.00/M tokens |
| Pricing Notes | — | Cache read: $0.5000/M tokens |
| Capabilities | textvisioncode | textvisioncodetool-use |
| Max Output | 8K tokens | 128K tokens |
| API Identifier | baidu/ernie-4.5-vl-28b-a3b | anthropic/claude-opus-4.7 |
| Benchmarks | ||
| MMLU | — | 84.7anthropic |
| MMLU-Pro | — | 78.1anthropic |
| MMMLU | — | 92anthropic |
| GPQA Diamond | — | 94.2anthropic |
| HLE | — | 54.7artificial-analysis |
| SWE-bench Verified | — | 87.6anthropic |
| SWE-bench Pro | — | 64.3anthropic |
| SWE-bench Multilingual+Multimodal | — | 80.5anthropic |
| Terminal-Bench | — | 69.4anthropic |
| MCP-Atlas | — | 77.3anthropic |
| Berkeley Function Calling | — | 77.3anthropic |
| OSWorld-Verified | — | 78anthropic |
| BrowseComp | — | 79.3anthropic |
| CharXiv-R | — | 91anthropic |
| DocVQA | — | 93.1anthropic |
| CyberGym | — | 73.1anthropic |
| GDPVal-AA Elo | — | 1753artificial-analysis |
| View ERNIE 4.5 VL 28B A3B | View Claude Opus 4.7 | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| ERNIE 4.5 VL 28B A3BCheapest | $0.14 | $0.28 | $0.42 | — |
| Claude Opus 4.7 | $5.00 | $12.50 | $17.50 | +4067% |
Baidu
ERNIE 4.5 VL 28B A3B
ERNIE 4.5 VL 28B A3B is a multimodal llm from Baidu. Supports up to 30,000 token context window. Available from $0.14/M input tokens.
Anthropic
Claude Opus 4.7
Claude Opus 4.7 is Anthropic's most capable generally available model, with significant improvements in advanced software engineering, agentic tool use, and vision resolution. Achieves 87.6% on SWE-bench Verified and 94.2% on GPQA Diamond. Supports up to 1,000,000 token context window with 3.3x higher-resolution vision than Opus 4.6.
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