Commonsense · Reka AI

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

Reka Flash Turbo scores 86.5 on HellaSwag, placing it #195 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
86.5
0–100 scale
Rank
#195
of 600
Percentile
68th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
9.6
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Reka Flash Turbo 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 Turbo sits at #195 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 9.6 points. The median model in this index scores 83.6, which puts Reka Flash Turbo above the midpoint.

Reka AI models average 83.8 on this benchmark. Reka Flash Turbo is 2.7 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 Flash Turbo 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 86.5 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 $10.19 per million input tokens, Reka Flash Turbo 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
ERNIE 4.0 Pro Baidu 200000 $12.58 77.5
Llama 3 Replicate Replicate 200000 $3.75 75.7
Mistral Small 3 Mistral AI 32768 $3.90 75.3
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1
Reka Flash Turbo Reka AI 128000 $10.19 75.1
Sonar Pro Perplexity 128000 $13.01 79.1
Claude Sonnet 4.5 Mini Anthropic 32768 $11.43 76.5

Other benchmarks for Reka Flash Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.9 248 59th
GPQA Diamond 70.3 255 58th
SWE-bench Verified 63.3 248 59th
HumanEval 77.7 296 51th
MATH-500 75.3 321 47th
AIME 2025 72.9 206 66th
LiveCodeBench 67.2 244 59th
IFEval 84.3 208 65th
TruthfulQA 78.3 247 59th
MMMU 72.2 238 60th
Arena Elo 1381.5 270 55th

FAQ

What score does Reka Flash Turbo get on HellaSwag?

Reka Flash Turbo scores 86.5 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Reka Flash Turbo rank on HellaSwag?

It ranks #195 of 600 models, in the 68th percentile. The leader is GPT-5.2 Max at 96.1.

Is Reka Flash Turbo 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 Flash Turbo cost?

Reka Flash Turbo costs $10.19 per million input tokens and $50.90 per million output tokens.

Related