Coding · Baidu

ERNIE 4.5 on SWE-bench Verified: score, rank and what it means

ERNIE 4.5 scores 68.2 on SWE-bench Verified, placing it #140 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
68.2
0–100 scale
Rank
#140
of 600
Percentile
77th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
13.5
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with ERNIE 4.5 highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On SWE-bench Verified, ERNIE 4.5 sits at #140 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 13.5 points. The median model in this index scores 61.0, which puts ERNIE 4.5 above the midpoint.

Baidu models average 63.6 on this benchmark. ERNIE 4.5 is 4.6 points above that provider line, so it is a stronger result than the average Baidu model.

Among multimodal models, the average is 66.4. ERNIE 4.5 is 1.8 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 68.2 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $13.44 per million input tokens, ERNIE 4.5 is above the median input price of $4.00 across the 600 models scored on SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
DeepSeek-Coder DeepSeek 32768 $4.55 78.1
Llama 3.1 Turbo Instruct Together AI 32768 $4.21 76.7
QwQ Alibaba Cloud 128000 $4.57 78.6
QwQ Chat Alibaba Cloud 65536 $4.28 78.2
ERNIE 4.5 Baidu 65536 $13.44 80.0
Kimi K1.5 Moonshot AI 128000 $5.19 80.7
MiniMax-Text MiniMax 32768 $4.44 77.0

Other benchmarks for ERNIE 4.5

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.7 86 86th
GPQA Diamond 77.2 102 83th
HumanEval 83.9 134 78th
MATH-500 81.3 181 70th
AIME 2025 75.9 142 76th
LiveCodeBench 72.9 131 78th
IFEval 86.4 146 76th
TruthfulQA 83.0 106 82th
HellaSwag 89.2 108 82th
MMMU 78.0 97 84th
Arena Elo 1414.8 168 72th

FAQ

What score does ERNIE 4.5 get on SWE-bench Verified?

ERNIE 4.5 scores 68.2 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does ERNIE 4.5 rank on SWE-bench Verified?

It ranks #140 of 600 models, in the 77th percentile. The leader is GPT-5.2 Pro at 81.7.

Is ERNIE 4.5 good at SWE-bench Verified?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the SWE-bench Verified score calculated?

SWE-bench Verified is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does ERNIE 4.5 cost?

ERNIE 4.5 costs $13.44 per million input tokens and $56.59 per million output tokens.

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