Commonsense · Reka AI

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

Reka Core Reasoning scores 88.4 on HellaSwag, placing it #129 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
88.4
0–100 scale
Rank
#129
of 600
Percentile
79th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
7.7
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Reka Core Reasoning 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 Reasoning sits at #129 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 7.7 points. The median model in this index scores 83.6, which puts Reka Core Reasoning above the midpoint.

Reka AI models average 83.8 on this benchmark. Reka Core Reasoning is 4.6 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 Reasoning is 1.6 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 88.4 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 $13.11 per million input tokens, Reka Core Reasoning 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
MiniMax-M2 Instruct MiniMax 128000 $5.11 79.4
Llama 3.3 Meta AI 128000 $4.56 78.2
Llama 4 Scout Instruct Meta AI 32768 $4.59 79.1
QwQ Instruct Alibaba Cloud 65536 $4.62 79.0
Reka Core Reasoning Reka AI 32768 $13.11 78.5
Command A Cohere 200000 $13.30 79.6
Mistral Large 3 Base Mistral AI 65536 $4.47 78.2

Other benchmarks for Reka Core Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.4 137 77th
GPQA Diamond 72.6 208 65th
SWE-bench Verified 66.8 174 71th
HumanEval 82.5 177 71th
MATH-500 81.5 177 71th
AIME 2025 75.9 143 76th
LiveCodeBench 73.0 129 79th
IFEval 87.1 130 78th
TruthfulQA 79.3 206 66th
MMMU 75.5 151 75th
Arena Elo 1421.5 142 76th

FAQ

What score does Reka Core Reasoning get on HellaSwag?

Reka Core Reasoning scores 88.4 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Reka Core Reasoning rank on HellaSwag?

It ranks #129 of 600 models, in the 79th percentile. The leader is GPT-5.2 Max at 96.1.

Is Reka Core Reasoning 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 Reasoning cost?

Reka Core Reasoning costs $13.11 per million input tokens and $61.55 per million output tokens.

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