Coding · Perplexity

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

Sonar Turbo scores 66.3 on SWE-bench Verified, placing it #188 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
66.3
0–100 scale
Rank
#188
of 600
Percentile
69th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
15.4
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Sonar Turbo 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 Turbo sits at #188 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 15.4 points. The median model in this index scores 61.0, which puts Sonar Turbo above the midpoint.

Perplexity models average 63.8 on this benchmark. Sonar Turbo is 2.5 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 Turbo is 0.1 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 66.3 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 $10.71 per million input tokens, Sonar Turbo 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
GPT-5.1 Mini OpenAI 128000 $12.19 77.7
Hunyuan-Large Chat Tencent 200000 $4.35 78.1
Llama 3 DeepInfra Instruct DeepInfra 65536 $3.84 75.5
Sonar Pro Turbo Perplexity 128000 $13.55 79.0
Sonar Turbo Perplexity 65536 $10.71 75.7
Llama 3 Hyperbolic Instruct Hyperbolic 200000 $3.79 76.2
Nova Pro Turbo Amazon 128000 $13.18 78.4

Other benchmarks for Sonar Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.4 172 71th
GPQA Diamond 73.1 197 67th
HumanEval 78.7 272 55th
MATH-500 78.8 243 60th
AIME 2025 71.0 237 61th
LiveCodeBench 67.9 228 62th
IFEval 82.7 254 58th
TruthfulQA 79.1 213 65th
HellaSwag 83.6 301 50th
MMMU 71.2 268 55th
Arena Elo 1387.3 258 57th

FAQ

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

Sonar Turbo scores 66.3 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Sonar Turbo rank on SWE-bench Verified?

It ranks #188 of 600 models, in the 69th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Sonar Turbo 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 Turbo cost?

Sonar Turbo costs $10.71 per million input tokens and $43.83 per million output tokens.

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