Instruction following · Reka AI

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

Reka Core Reasoning scores 87.1 on IFEval, placing it #130 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
87.1
0–100 scale
Rank
#130
of 600
Percentile
78th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
9.0
points

Score distribution

The chart shows the top 10 models on IFEval, with Reka Core Reasoning 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 Reasoning sits at #130 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 9.0 points. The median model in this index scores 81.2, which puts Reka Core Reasoning above the midpoint.

Reka AI models average 82.0 on this benchmark. Reka Core Reasoning is 5.1 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 Reasoning is 1.9 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 87.1 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 $13.11 per million input tokens, Reka Core Reasoning 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
MiniMax-M2 Instruct MiniMax 128000 $5.11 79.4
Reka Core Turbo Reka AI 32768 $12.58 78.4
Claude Haiku 4.5 Turbo Anthropic 200000 $14.37 80.0
ERNIE 4.5 Max Baidu 128000 $14.41 80.6
Reka Core Reasoning Reka AI 32768 $13.11 78.5
Sonar Pro Reasoning Perplexity 128000 $13.94 80.5
Llama 3.3 Meta AI 128000 $4.56 78.2

Other benchmarks for Reka Core Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.4 137 77th
GPQA Diamond 72.6 208 65th
SWE-bench Verified 66.8 174 71th
HumanEval 82.5 177 71th
MATH-500 81.5 177 71th
AIME 2025 75.9 143 76th
LiveCodeBench 73.0 129 79th
TruthfulQA 79.3 206 66th
HellaSwag 88.4 129 79th
MMMU 75.5 151 75th
Arena Elo 1421.5 142 76th

FAQ

What score does Reka Core Reasoning get on IFEval?

Reka Core Reasoning scores 87.1 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Reka Core Reasoning rank on IFEval?

It ranks #130 of 600 models, in the 78th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Reka Core Reasoning 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 Reasoning cost?

Reka Core Reasoning costs $13.11 per million input tokens and $61.55 per million output tokens.

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