Instruction following · Reka AI

Reka Core Pro on IFEval: score, rank and what it means

Reka Core Pro scores 86.0 on IFEval, placing it #159 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
86.0
0–100 scale
Rank
#159
of 600
Percentile
74th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
10.1
points

Score distribution

The chart shows the top 10 models on IFEval, with Reka Core Pro highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Reka Core Pro sits at #159 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 10.1 points. The median model in this index scores 81.2, which puts Reka Core Pro above the midpoint.

Reka AI models average 82.0 on this benchmark. Reka Core Pro is 4.0 points above that provider line, so it is a stronger result than the average Reka AI model.

Among multimodal models, the average is 85.2. Reka Core Pro is 0.8 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 86.0 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 $13.44 per million input tokens, Reka Core Pro is above the median input price of $4.00 across the 600 models scored on IFEval. 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
ERNIE 4.5 Pro Baidu 1000000 $13.89 80.5
Kimi K1.5 Base Moonshot AI 65536 $4.34 77.4
Llama 3.1 Turbo Instruct Together AI 32768 $4.21 76.7
Reka Core Pro Reka AI 65536 $13.44 79.9
Codestral Mistral AI 65536 $4.19 77.6
ERNIE 4.0 Max Baidu 32768 $12.40 78.9

Other benchmarks for Reka Core Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.2 102 83th
GPQA Diamond 78.0 87 86th
SWE-bench Verified 66.8 173 71th
HumanEval 83.4 152 75th
MATH-500 85.9 94 84th
AIME 2025 75.8 145 76th
LiveCodeBench 71.8 152 75th
TruthfulQA 83.4 100 83th
HellaSwag 88.7 121 80th
MMMU 76.4 131 78th
Arena Elo 1421.1 144 76th

FAQ

What score does Reka Core Pro get on IFEval?

Reka Core Pro scores 86.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Reka Core Pro rank on IFEval?

It ranks #159 of 600 models, in the 74th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Reka Core Pro good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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 Pro cost?

Reka Core Pro costs $13.44 per million input tokens and $69.38 per million output tokens.

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