Coding · Alibaba Cloud

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

Qwen3 Chat scores 68.5 on SWE-bench Verified, placing it #133 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
68.5
0–100 scale
Rank
#133
of 600
Percentile
78th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
13.2
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Qwen3 Chat 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 Chat sits at #133 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 13.2 points. The median model in this index scores 61.0, which puts Qwen3 Chat above the midpoint.

Alibaba Cloud models average 60.8 on this benchmark. Qwen3 Chat is 7.7 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 Chat is 2.1 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 68.5 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 $4.75 per million input tokens, Qwen3 Chat 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-V3.2 Base DeepSeek 128000 $5.05 80.2
Llama 4 Maverick Instruct Meta AI 200000 $5.33 81.7
ERNIE 4.5 Max Baidu 128000 $14.41 80.6
Sonar Pro Perplexity 128000 $13.01 79.1
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1
Qwen3 Instruct Alibaba Cloud 1000000 $5.06 79.8
Claude Haiku 4.5 Turbo Anthropic 200000 $14.37 80.0

Other benchmarks for Qwen3 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.4 98 84th
GPQA Diamond 73.9 173 71th
HumanEval 83.9 136 77th
MATH-500 81.4 180 70th
AIME 2025 73.8 190 68th
LiveCodeBench 72.2 144 76th
IFEval 87.5 118 80th
TruthfulQA 81.3 145 76th
HellaSwag 86.5 194 68th
MMMU 77.3 110 82th
Arena Elo 1417.2 160 73th

FAQ

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

Qwen3 Chat scores 68.5 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Qwen3 Chat rank on SWE-bench Verified?

It ranks #133 of 600 models, in the 78th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Qwen3 Chat 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 Chat cost?

Qwen3 Chat costs $4.75 per million input tokens and $17.42 per million output tokens.

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