Commonsense · Reka AI

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

Reka Core Nano scores 79.5 on HellaSwag, placing it #390 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
79.5
0–100 scale
Rank
#390
of 600
Percentile
35th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
16.6
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Reka Core Nano 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 Nano sits at #390 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 16.6 points. The median model in this index scores 83.6, which puts Reka Core Nano below the midpoint.

Reka AI models average 83.8 on this benchmark. Reka Core Nano is 4.3 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 Nano is 0.3 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 79.5 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 $5.45 per million input tokens, Reka Core Nano 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
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
Phi-3.5 Base Microsoft 65536 $2.24 66.6
Reka Core Nano Reka AI 16384 $5.45 65.1
DBRX Base Databricks 32768 $2.63 69.1
Molmo Allen Institute for AI 32768 $2.49 68.5

Other benchmarks for Reka Core Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.5 412 31th
GPQA Diamond 59.9 407 32th
SWE-bench Verified 50.2 421 30th
HumanEval 68.1 413 31th
MATH-500 69.3 385 36th
AIME 2025 57.3 404 33th
LiveCodeBench 58.7 381 37th
IFEval 74.8 401 33th
TruthfulQA 67.8 416 31th
MMMU 61.8 411 32th
Arena Elo 1310.8 407 32th

FAQ

What score does Reka Core Nano get on HellaSwag?

Reka Core Nano scores 79.5 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Reka Core Nano rank on HellaSwag?

It ranks #390 of 600 models, in the 35th percentile. The leader is GPT-5.2 Max at 96.1.

Is Reka Core Nano 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 Nano cost?

Reka Core Nano costs $5.45 per million input tokens and $25.25 per million output tokens.

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