Coding · Perplexity

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

Sonar Nano scores 48.4 on SWE-bench Verified, placing it #435 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
48.4
0–100 scale
Rank
#435
of 600
Percentile
28th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
33.3
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Sonar Nano 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 Nano sits at #435 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 33.3 points. The median model in this index scores 61.0, which puts Sonar Nano below the midpoint.

Perplexity models average 63.8 on this benchmark. Sonar Nano is 15.4 points below that provider line, so it is a weaker result than the average Perplexity model.

Among mid-range models, the average is 54.9. Sonar Nano is 6.5 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 48.4 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 $4.37 per million input tokens, Sonar Nano 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
Auto Mini OpenRouter 4096 $4.24 61.6
Firesearch Mini Fireworks AI 32768 $3.94 61.5
Reka Flash Nano Reka AI 16384 $3.93 61.0
GLM-4.5 8B Zhipu AI 32768 $1.46 61.3
Sonar Nano Perplexity 4096 $4.37 61.9
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
GPT-NeoX Base EleutherAI 16384 $1.22 59.7

Other benchmarks for Sonar Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.8 439 27th
GPQA Diamond 57.4 434 28th
HumanEval 63.7 453 25th
MATH-500 66.7 411 32th
AIME 2025 50.6 456 24th
LiveCodeBench 55.1 404 33th
IFEval 70.7 446 26th
TruthfulQA 68.5 409 32th
HellaSwag 75.1 441 27th
MMMU 59.2 438 27th
Arena Elo 1303.0 413 31th

FAQ

What score does Sonar Nano get on SWE-bench Verified?

Sonar Nano scores 48.4 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Sonar Nano rank on SWE-bench Verified?

It ranks #435 of 600 models, in the 28th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Sonar Nano good at SWE-bench Verified?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 Nano cost?

Sonar Nano costs $4.37 per million input tokens and $16.96 per million output tokens.

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