Commonsense · Reka AI

Reka Core Pro on HellaSwag: score, rank and what it means

Reka Core Pro scores 88.7 on HellaSwag, placing it #121 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
88.7
0–100 scale
Rank
#121
of 600
Percentile
80th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
7.4
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Reka Core Pro highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Reka Core Pro sits at #121 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 7.4 points. The median model in this index scores 83.6, which puts Reka Core Pro above the midpoint.

Reka AI models average 83.8 on this benchmark. Reka Core Pro is 4.9 points above that provider line, so it is a stronger result than the average Reka AI model.

Among multimodal models, the average is 86.8. Reka Core Pro is 1.9 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 88.7 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 $13.44 per million input tokens, Reka Core Pro is above the median input price of $4.00 across the 600 models scored on HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GLM-4.5 Zhipu AI 200000 $4.55 78.2
GPT-5.1 Mini OpenAI 128000 $12.19 77.7
Llama 4 Maverick Chat Meta AI 128000 $5.09 79.7
ERNIE 4.0 Max Baidu 32768 $12.40 78.9
Reka Core Pro Reka AI 65536 $13.44 79.9
Sonar Pro Pro Perplexity 200000 $13.59 79.7
Claude Haiku 4.5 Vision Anthropic 128000 $13.01 79.2

Other benchmarks for Reka Core Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.2 102 83th
GPQA Diamond 78.0 87 86th
SWE-bench Verified 66.8 173 71th
HumanEval 83.4 152 75th
MATH-500 85.9 94 84th
AIME 2025 75.8 145 76th
LiveCodeBench 71.8 152 75th
IFEval 86.0 159 74th
TruthfulQA 83.4 100 83th
MMMU 76.4 131 78th
Arena Elo 1421.1 144 76th

FAQ

What score does Reka Core Pro get on HellaSwag?

Reka Core Pro scores 88.7 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Reka Core Pro rank on HellaSwag?

It ranks #121 of 600 models, in the 80th percentile. The leader is GPT-5.2 Max at 96.1.

Is Reka Core Pro good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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 Reka Core Pro cost?

Reka Core Pro costs $13.44 per million input tokens and $69.38 per million output tokens.

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