Compare / head-to-head
ERNIE 5.0vsGPT-5.4
GPT-5.4 leads 1 of 1 shared benchmark. GPT-5.4 has the larger context window (1.1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 1
GPT-5.4 leads
Cheaper per token
—
list price, input + output
Larger context
GPT-5.4
1.1M tokens
Provider uptime (30d)
— · 95.1515%
Baidu · OpenAI
ERNIE 5.0
Baidu · released 2026-02-06
textvision
- Context
- 128K
- Max out
- 66K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 21 · 5 core
Quality
Benchmark matrix
1 shared · 20 only ERNIE 5.0 · 19 only GPT-5.4| Benchmark | ERNIE 5.0 | GPT-5.4 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 1 | ||||
| GPQA Diamond | 86.36% ↗ | 92.8% ↗ | -6.4 pt | GPT-5.4 |
| Only ERNIE 5.0 reports · 20 | ||||
| MMLU-Pro | 83.8% ↗ | not reported | — | — |
| AIME 2025 | 89.06% ↗ | not reported | — | — |
| ACEBench Chinese | 89.6% ↗ | not reported | — | — |
| ACEBench English | 87.7% ↗ | not reported | — | — |
| BBEH | 66.63% ↗ | not reported | — | — |
| BFCL v4 | 66.47% ↗ | not reported | — | — |
| BrowseComp-ZH | 64.71% ↗ | not reported | — | — |
| ChineseSimpleQA | 86.03% ↗ | not reported | — | — |
| HMMT 2025 | 79.58% ↗ | not reported | — | — |
| HumanEval+ | 94.48% ↗ | not reported | — | — |
| Humanity's Last Exam | 25.81% ↗ | not reported | — | — |
| IFEval | 93.35% ↗ | not reported | — | — |
| LiveCodeBench v6 | 76.21% ↗ | not reported | — | — |
| MBPP+ | 82.54% ↗ | not reported | — | — |
| Multi-IF | 85.56% ↗ | not reported | — | — |
| MultiChallenge | 65.98% ↗ | not reported | — | — |
| SimpleQA | 74.01% ↗ | not reported | — | — |
| SpreadsheetBench | 40.08% ↗ | not reported | — | — |
| Tau2-Bench | 78.79% ↗ | not reported | — | — |
| ZebraLogic | 96.5% ↗ | not reported | — | — |
| Only GPT-5.4 reports · 19 | ||||
| AIME 2026 | not reported | 99.2% ↗matharena ⚠ | — | — |
| Humanity's Last Exam (no tools) | not reported | 39.8% ↗ | — | — |
| LMArena Elo | not reported | 1452.6 ↗ | — | — |
| BrowseComp | not reported | 82.7% ↗ | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 49% ↗epoch | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 78.6% ↗epoch | — | — |
| GDPval (wins or ties) | not reported | 83% ↗ | — | — |
| Humanity's Last Exam (with tools) | not reported | 52.1% ↗ | — | — |
| MCP Atlas | not reported | 67.2% ↗ | — | — |
| MMMU-Pro (no tools) | not reported | 81.2% ↗ | — | — |
| MMMU-Pro (with tools) | not reported | 82.1% ↗ | — | — |
| OSWorld-Verified | not reported | 75% ↗ | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 97.8% ↗epoch | — | — |
| SimpleQA Verified | not reported | 45.1% ↗epoch | — | — |
| SWE-Bench Pro | not reported | 57.7% ↗ | — | — |
| SWE-bench Verified (Epoch AI run) | not reported | 76.9% ↗epoch | — | — |
| Tau2-bench Telecom | not reported | 98.9% ↗ | — | — |
| Terminal-Bench 2.0 | not reported | 75.1% ↗ | — | — |
| Toolathlon | not reported | 54.6% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is ERNIE 5.0 minus GPT-5.4 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | ERNIE 5.0 | GPT-5.4 | Edge |
|---|---|---|---|
| Context window | 128K tokens | 1.1M tokens | GPT-5.4 |
| Max output | 66K tokens | 128K tokens | GPT-5.4 |
| Input price / 1M | — | $2.5 ↗ | — |
| Output price / 1M | — | $15 ↗ | — |
| Cached input / 1M | — | $0.25 ↗ | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | $17.5 | — |
| Modalities | text · vision | text · vision | Tie |
| Released | 2026-02-06 | 2026-03-05 | — |
| Cited benchmark scores | 21 | 21 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
ERNIE 5.0 vs …
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Which one wins on your data?
Public benchmarks are a starting point. Run ERNIE 5.0 and GPT-5.4 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.