Commonsense · Reka AI

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

Reka Flash Nano scores 74.6 on HellaSwag, placing it #449 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
74.6
0–100 scale
Rank
#449
of 600
Percentile
25th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
21.5
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Reka Flash 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 Flash Nano sits at #449 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 21.5 points. The median model in this index scores 83.6, which puts Reka Flash Nano below the midpoint.

Reka AI models average 83.8 on this benchmark. Reka Flash Nano is 9.2 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 Flash Nano is 5.2 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 74.6 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 $3.93 per million input tokens, Reka Flash Nano is below 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
Magistral 8B Mistral AI 4096 $1.33 60.0
Auto Mini OpenRouter 4096 $4.24 61.6
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
MiniMax-Text 8B MiniMax 4096 $1.22 59.5
Reka Flash Nano Reka AI 16384 $3.93 61.0
MiniMax-M2 7B MiniMax 8192 $1.44 60.8
Kimi K1.5 7B Moonshot AI 8192 $1.35 59.9

Other benchmarks for Reka Flash Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.4 435 28th
GPQA Diamond 59.0 417 31th
SWE-bench Verified 48.7 433 28th
HumanEval 65.9 431 28th
MATH-500 61.5 448 25th
AIME 2025 52.4 441 27th
LiveCodeBench 50.6 441 27th
IFEval 69.9 463 23th
TruthfulQA 63.6 481 20th
MMMU 58.8 445 26th
Arena Elo 1267.9 464 23th

FAQ

What score does Reka Flash Nano get on HellaSwag?

Reka Flash Nano scores 74.6 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Reka Flash Nano rank on HellaSwag?

It ranks #449 of 600 models, in the 25th percentile. The leader is GPT-5.2 Max at 96.1.

Is Reka Flash 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 Flash Nano cost?

Reka Flash Nano costs $3.93 per million input tokens and $16.57 per million output tokens.

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