Coding · ByteDance

Seed-OSS on SWE-bench Verified: score, rank and what it means

Seed-OSS scores 62.8 on SWE-bench Verified, placing it #260 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
62.8
0–100 scale
Rank
#260
of 600
Percentile
57th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
18.9
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Seed-OSS 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, Seed-OSS sits at #260 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 18.9 points. The median model in this index scores 61.0, which puts Seed-OSS above the midpoint.

ByteDance models average 59.5 on this benchmark. Seed-OSS is 3.3 points above that provider line, so it is a stronger result than the average ByteDance model.

Among multimodal models, the average is 66.4. Seed-OSS is 3.6 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 62.8 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 $3.74 per million input tokens, Seed-OSS 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
Codestral Chat Mistral AI 32768 $3.89 75.8
Llama 3 Baseten Instruct Baseten 200000 $3.91 76.2
Llama 3 Lambda Lambda 65536 $3.90 75.6
MiniMax-M2 Base MiniMax 65536 $4.20 76.4
Seed-OSS ByteDance 32768 $3.74 75.3
Llama 3 Baseten Baseten 128000 $3.62 74.9
Phi-4 Base Microsoft 32768 $3.15 71.2

Other benchmarks for Seed-OSS

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.6 193 68th
GPQA Diamond 72.6 209 65th
HumanEval 76.9 309 49th
MATH-500 79.2 230 62th
AIME 2025 74.2 176 71th
LiveCodeBench 67.6 237 61th
IFEval 81.6 285 53th
TruthfulQA 77.1 279 54th
HellaSwag 83.5 307 49th
MMMU 73.5 206 66th
Arena Elo 1376.3 287 52th

FAQ

What score does Seed-OSS get on SWE-bench Verified?

Seed-OSS scores 62.8 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Seed-OSS rank on SWE-bench Verified?

It ranks #260 of 600 models, in the 57th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Seed-OSS 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 Seed-OSS cost?

Seed-OSS costs $3.74 per million input tokens and $19.36 per million output tokens.

Related