Coding · Reka AI

Reka Core on SWE-bench Verified: score, rank and what it means

Reka Core scores 63.8 on SWE-bench Verified, placing it #238 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
63.8
0–100 scale
Rank
#238
of 600
Percentile
60th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
17.9
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Reka Core highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On SWE-bench Verified, Reka Core sits at #238 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 17.9 points. The median model in this index scores 61.0, which puts Reka Core above the midpoint.

Reka AI models average 61.8 on this benchmark. Reka Core is 2.0 points above that provider line, so it is a stronger result than the average Reka AI model.

Among multimodal models, the average is 66.4. Reka Core is 2.6 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 63.8 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 $12.17 per million input tokens, Reka Core is above the median input price of $4.00 across the 600 models scored on SWE-bench Verified. 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 Reasoning Baidu 65536 $12.20 77.8
Llama 3.3 Groq Groq 32768 $3.98 76.8
Seed-OSS Chat ByteDance 65536 $3.49 74.4
Nova Lite Turbo Amazon 8192 $9.14 73.2
Reka Core Reka AI 32768 $12.17 77.4
Llama 3.3 Instruct Meta AI 128000 $4.33 76.6
Nemotron 4 NVIDIA 65536 $4.18 76.6

Other benchmarks for Reka Core

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.0 185 69th
GPQA Diamond 74.8 148 75th
HumanEval 82.0 187 69th
MATH-500 83.8 130 78th
AIME 2025 72.2 217 64th
LiveCodeBench 69.5 202 66th
IFEval 85.7 169 72th
TruthfulQA 79.0 221 63th
HellaSwag 87.1 175 71th
MMMU 73.4 209 65th
Arena Elo 1422.8 136 77th

FAQ

What score does Reka Core get on SWE-bench Verified?

Reka Core scores 63.8 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Reka Core rank on SWE-bench Verified?

It ranks #238 of 600 models, in the 60th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Reka Core good at SWE-bench Verified?

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 SWE-bench Verified score calculated?

SWE-bench Verified 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 Core cost?

Reka Core costs $12.17 per million input tokens and $55.77 per million output tokens.

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