Coding · Reka AI

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

Reka Flash Turbo scores 77.7 on HumanEval, placing it #296 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
77.7
0–100 scale
Rank
#296
of 600
Percentile
51th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
19.1
points

Score distribution

The chart shows the top 10 models on HumanEval, with Reka Flash Turbo highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Reka Flash Turbo sits at #296 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 19.1 points. The median model in this index scores 77.4, which puts Reka Flash Turbo above the midpoint.

Reka AI models average 78.2 on this benchmark. Reka Flash Turbo is 0.5 points below that provider line, so it is a weaker result than the average Reka AI model.

Among multimodal models, the average is 82.2. Reka Flash Turbo is 4.5 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 77.7 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 HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Phi-4 Instruct Microsoft 128000 $3.79 75.3
Gemini 3 Pro Nano Google DeepMind 8192 $9.11 73.2
Llama 3.3 Base Meta AI 32768 $3.63 74.0
Mixtral Turbo Together AI 65536 $3.20 72.4
Reka Flash Turbo Reka AI 128000 $10.19 75.1
Gemma 3 Base Google DeepMind 65536 $3.09 71.1
Mistral Small 3 Base Mistral AI 16384 $3.19 72.7

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
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
HellaSwag 86.5 195 68th
MMMU 72.2 238 60th
Arena Elo 1381.5 270 55th

FAQ

What score does Reka Flash Turbo get on HumanEval?

Reka Flash Turbo scores 77.7 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Reka Flash Turbo rank on HumanEval?

It ranks #296 of 600 models, in the 51st percentile. The leader is GPT-5.2 Pro at 96.8.

Is Reka Flash Turbo good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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.

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