Coding · Reka AI

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

Reka Core Nano scores 50.2 on SWE-bench Verified, placing it #421 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
50.2
0–100 scale
Rank
#421
of 600
Percentile
30th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
31.5
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Reka Core Nano 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 Nano sits at #421 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 31.5 points. The median model in this index scores 61.0, which puts Reka Core Nano below the midpoint.

Reka AI models average 61.8 on this benchmark. Reka Core Nano is 11.6 points below that provider line, so it is a weaker result than the average Reka AI model.

Among mid-range models, the average is 54.9. Reka Core Nano is 4.7 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 50.2 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 $5.45 per million input tokens, Reka Core Nano 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
SmolLM3 Instruct Hugging Face 8192 $1.69 63.6
GPT-NeoX Instruct EleutherAI 16384 $1.52 62.6
Zephyr Hugging Face 8192 $1.61 62.8
Molmo Base Allen Institute for AI 4096 $2.02 65.0
Reka Core Nano Reka AI 16384 $5.45 65.1
Llama 4 Maverick 7B Meta AI 4096 $1.52 61.9
MiniMax-M2 8B MiniMax 32768 $1.65 61.7

Other benchmarks for Reka Core Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.5 412 31th
GPQA Diamond 59.9 407 32th
HumanEval 68.1 413 31th
MATH-500 69.3 385 36th
AIME 2025 57.3 404 33th
LiveCodeBench 58.7 381 37th
IFEval 74.8 401 33th
TruthfulQA 67.8 416 31th
HellaSwag 79.5 390 35th
MMMU 61.8 411 32th
Arena Elo 1310.8 407 32th

FAQ

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

Reka Core Nano scores 50.2 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Reka Core Nano rank on SWE-bench Verified?

It ranks #421 of 600 models, in the 30th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Reka Core Nano good at SWE-bench Verified?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 Nano cost?

Reka Core Nano costs $5.45 per million input tokens and $25.25 per million output tokens.

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