Coding · Perplexity

Sonar Mini on HumanEval: score, rank and what it means

Sonar Mini scores 70.4 on HumanEval, placing it #390 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
70.4
0–100 scale
Rank
#390
of 600
Percentile
35th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
26.4
points

Score distribution

The chart shows the top 10 models on HumanEval, with Sonar Mini highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Sonar Mini sits at #390 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 26.4 points. The median model in this index scores 77.4, which puts Sonar Mini below the midpoint.

Perplexity models average 78.6 on this benchmark. Sonar Mini is 8.2 points below that provider line, so it is a weaker result than the average Perplexity model.

Among mid-range models, the average is 71.5. Sonar Mini is 1.1 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 70.4 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 $6.52 per million input tokens, Sonar Mini is above the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Reka Flash Mini Reka AI 16384 $5.77 65.5
Gemini 2.5 Pro Nano Google DeepMind 32768 $7.28 69.2
Claude Haiku 4.5 Nano Anthropic 8192 $6.47 68.7
Phi-3.5 Chat Microsoft 16384 $2.64 69.0
Sonar Mini Perplexity 65536 $6.52 67.9
OLMo 2 Base Allen Institute for AI 65536 $2.39 67.4
Embed 4 Turbo Cohere 4096 $5.13 64.0

Other benchmarks for Sonar Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 71.2 388 35th
GPQA Diamond 60.4 401 33th
SWE-bench Verified 56.9 369 39th
MATH-500 72.7 360 40th
AIME 2025 60.4 385 36th
LiveCodeBench 55.1 403 33th
IFEval 77.5 373 38th
TruthfulQA 74.0 354 41th
HellaSwag 81.7 355 41th
MMMU 67.0 360 40th
Arena Elo 1334.4 383 36th

FAQ

What score does Sonar Mini get on HumanEval?

Sonar Mini scores 70.4 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Sonar Mini rank on HumanEval?

It ranks #390 of 600 models, in the 35th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Sonar Mini good at HumanEval?

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 HumanEval score calculated?

HumanEval 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 Mini cost?

Sonar Mini costs $6.52 per million input tokens and $35.69 per million output tokens.

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