Coding · Perplexity

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

Sonar scores 65.8 on SWE-bench Verified, placing it #198 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
65.8
0–100 scale
Rank
#198
of 600
Percentile
67th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
15.9
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Sonar 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, Sonar sits at #198 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 15.9 points. The median model in this index scores 61.0, which puts Sonar above the midpoint.

Perplexity models average 63.8 on this benchmark. Sonar is 2.0 points above that provider line, so it is a stronger result than the average Perplexity model.

Among multimodal models, the average is 66.4. Sonar is 0.6 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 65.8 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 $10.57 per million input tokens, Sonar 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
Gemma 3 Instruct Google DeepMind 128000 $3.72 74.1
Hunyuan-Turbo Max Tencent 128000 $12.40 78.3
Llama 3.1 Cerebras Instruct Cerebras 65536 $4.11 76.1
MiniMax-Text Chat MiniMax 128000 $4.26 77.8
Sonar Perplexity 200000 $10.57 76.0
ERNIE 4.0 Pro Baidu 200000 $12.58 77.5
Yi-Lightning 01.AI 32768 $4.22 77.2

Other benchmarks for Sonar

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.1 207 66th
GPQA Diamond 71.2 237 61th
HumanEval 81.9 188 69th
MATH-500 76.3 294 51th
AIME 2025 73.9 187 69th
LiveCodeBench 68.5 217 64th
IFEval 84.7 198 67th
TruthfulQA 78.7 230 62th
HellaSwag 86.0 217 64th
MMMU 70.1 300 50th
Arena Elo 1394.1 233 61th

FAQ

What score does Sonar get on SWE-bench Verified?

Sonar scores 65.8 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Sonar rank on SWE-bench Verified?

It ranks #198 of 600 models, in the 67th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Sonar 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 Sonar cost?

Sonar costs $10.57 per million input tokens and $50.13 per million output tokens.

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