Coding · Reka AI

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

Reka Flash Nano scores 48.7 on SWE-bench Verified, placing it #433 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
48.7
0–100 scale
Rank
#433
of 600
Percentile
28th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
33.0
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Reka Flash 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 Flash Nano sits at #433 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 33.0 points. The median model in this index scores 61.0, which puts Reka Flash Nano below the midpoint.

Reka AI models average 61.8 on this benchmark. Reka Flash Nano is 13.1 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 Flash Nano is 6.2 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 48.7 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 $3.93 per million input tokens, Reka Flash Nano is below 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
Zephyr Chat Hugging Face 4096 $1.49 61.3
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6
Auto Mini OpenRouter 4096 $4.24 61.6
Firesearch Mini Fireworks AI 32768 $3.94 61.5
Reka Flash Nano Reka AI 16384 $3.93 61.0
GLM-4.5 8B Zhipu AI 32768 $1.46 61.3
Sonar Nano Perplexity 4096 $4.37 61.9

Other benchmarks for Reka Flash Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.4 435 28th
GPQA Diamond 59.0 417 31th
HumanEval 65.9 431 28th
MATH-500 61.5 448 25th
AIME 2025 52.4 441 27th
LiveCodeBench 50.6 441 27th
IFEval 69.9 463 23th
TruthfulQA 63.6 481 20th
HellaSwag 74.6 449 25th
MMMU 58.8 445 26th
Arena Elo 1267.9 464 23th

FAQ

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

Reka Flash Nano scores 48.7 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

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

It ranks #433 of 600 models, in the 28th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Reka Flash 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 Flash Nano cost?

Reka Flash Nano costs $3.93 per million input tokens and $16.57 per million output tokens.

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