Coding · Alibaba Cloud

Qwen3 Base on SWE-bench Verified: score, rank and what it means

Qwen3 Base scores 66.7 on SWE-bench Verified, placing it #176 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
66.7
0–100 scale
Rank
#176
of 600
Percentile
71th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
15.0
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Qwen3 Base 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, Qwen3 Base sits at #176 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 15.0 points. The median model in this index scores 61.0, which puts Qwen3 Base above the midpoint.

Alibaba Cloud models average 60.8 on this benchmark. Qwen3 Base is 5.9 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among multimodal models, the average is 66.4. Qwen3 Base is 0.3 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 66.7 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 $4.33 per million input tokens, Qwen3 Base 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
Reka Flash Reasoning Reka AI 32768 $10.70 75.6
Reka Core Pro Reka AI 65536 $13.44 79.9
Reka Core Reasoning Reka AI 32768 $13.11 78.5
Command R+ Chat Cohere 32768 $4.02 76.0
Qwen3 Base Alibaba Cloud 65536 $4.33 77.4
Llama 4 Maverick Chat Meta AI 128000 $5.09 79.7
ERNIE 4.5 Pro Baidu 1000000 $13.89 80.5

Other benchmarks for Qwen3 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.5 170 72th
GPQA Diamond 75.8 127 79th
HumanEval 80.5 224 63th
MATH-500 83.9 126 79th
AIME 2025 69.8 262 56th
LiveCodeBench 68.8 214 64th
IFEval 85.3 179 70th
TruthfulQA 79.0 220 63th
HellaSwag 85.4 230 62th
MMMU 76.0 141 77th
Arena Elo 1408.2 186 69th

FAQ

What score does Qwen3 Base get on SWE-bench Verified?

Qwen3 Base scores 66.7 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Qwen3 Base rank on SWE-bench Verified?

It ranks #176 of 600 models, in the 71st percentile. The leader is GPT-5.2 Pro at 81.7.

Is Qwen3 Base 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 Qwen3 Base cost?

Qwen3 Base costs $4.33 per million input tokens and $15.39 per million output tokens.

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