Commonsense · Reka AI

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

Reka Core Mini scores 79.6 on HellaSwag, placing it #386 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
79.6
0–100 scale
Rank
#386
of 600
Percentile
36th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
16.5
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Reka Core Mini 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 Mini sits at #386 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 16.5 points. The median model in this index scores 83.6, which puts Reka Core Mini below the midpoint.

Reka AI models average 83.8 on this benchmark. Reka Core Mini is 4.2 points below that provider line, so it is a weaker result than the average Reka AI model.

Among mid-range models, the average is 79.8. Reka Core Mini is 0.2 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 79.6 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 $7.48 per million input tokens, Reka Core Mini 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
Nemotron Nano Chat NVIDIA 32768 $2.21 66.2
Arctic Chat Snowflake 16384 $2.70 69.8
Nemotron Nano Instruct NVIDIA 32768 $2.33 67.4
Sonar Pro Nano Perplexity 32768 $5.50 66.1
Reka Core Mini Reka AI 8192 $7.48 70.1
Molmo Instruct Allen Institute for AI 32768 $2.53 68.3
Nemotron Nano Base NVIDIA 8192 $1.85 65.0

Other benchmarks for Reka Core Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 72.6 372 38th
GPQA Diamond 65.7 347 42th
SWE-bench Verified 59.5 335 44th
HumanEval 74.1 357 41th
MATH-500 73.5 352 41th
AIME 2025 64.6 348 42th
LiveCodeBench 62.0 350 42th
IFEval 78.2 364 39th
TruthfulQA 71.5 390 35th
MMMU 69.7 313 48th
Arena Elo 1359.8 344 43th

FAQ

What score does Reka Core Mini get on HellaSwag?

Reka Core Mini scores 79.6 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Reka Core Mini rank on HellaSwag?

It ranks #386 of 600 models, in the 36th percentile. The leader is GPT-5.2 Max at 96.1.

Is Reka Core Mini good at HellaSwag?

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 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 Mini cost?

Reka Core Mini costs $7.48 per million input tokens and $30.50 per million output tokens.

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