Seed OSS 36B Instruct vs GPT OSS 20B
Seed OSS 36B Instruct leads llmrun Score 102.5 to 96.3 (ranges overlap); both fit 24 GB at Q4_K_M; GPT OSS 20B is 6.6× faster on RTX 4090 (~190 vs ~29 tok/s).
Model A · ByteDance-Seed
Seed OSS 36B Instruct36.2B · 512K context · Apache 2.0 · Aug 2025
Model B · OpenAI
GPT OSS 20B20.9B · 4.2B active · 128K context · Apache 2.0 · Aug 2025
Choose Seed OSS 36B Instruct if you want…
Higher llmrun Score
102.5 vs 96.3, ranges overlap
Ahead on the benchmarks
3 of 3 shared boards
Longer context window
512K vs 128K tokens
Choose GPT OSS 20B if you want…
Fits a 12 GB GPU
IQ4_XS · 11.8 GB; Seed OSS 36B Instruct needs 12.4 GB at its smallest quant
6.6× faster on RTX 4090
~190 vs ~29 tok/s
Lighter on memory
12.9 vs 22.3 GB at Q4_K_M
On your hardware
Each model at its default quant (Q4_K_M), a smaller one when it must. Estimates, ±20%.
8 GB
RTX 4060 · 8 GB tier
Seed OSS 36B Instruct
Doesn't fit
smallest quant needs 12.4 GB
GPT OSS 20B
IQ2_M · ~103 tok/s
7.6 GB · up to 32Kfits
12 GB
RTX 3060 12GB · 12 GB tier
Seed OSS 36B Instruct
Doesn't fit
smallest quant needs 12.4 GB
GPT OSS 20B
IQ4_XS · ~89 tok/s
11.8 GB · up to 16Kfits
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Seed OSS 36B Instruct
IQ2_M · ~23 tok/s
14.7 GB · up to 16K
GPT OSS 20B
Q4_K_M · ~98 tok/s
13.1 GB · up to 128Kmore headroom
24 GBreference
RTX 4090 · 24 GB tier
Seed OSS 36B Instruct
Q4_K_M · ~29 tok/stight
24.1 GB · up to 8K
GPT OSS 20B
Q4_K_M · ~190 tok/s
13.1 GB · up to 128Kmore headroom
32 GB
RTX 5090 · 32 GB tier
Seed OSS 36B Instruct
Q4_K_M · ~52 tok/s
24.1 GB · up to 64K
GPT OSS 20B
Q4_K_M · ~282 tok/s
13.1 GB · up to 128Kfaster
48 GB
RTX A6000 · 48 GB tier
Seed OSS 36B Instruct
Q4_K_M · ~22 tok/s
24.1 GB · up to 128K
GPT OSS 20B
Q4_K_M · ~154 tok/s
13.1 GB · up to 128Kfaster
Mac 32 GB
Mac Mini M4 · Macs
Seed OSS 36B Instruct
Q4_K_M · ~4 tok/s
24.1 GB · up to 32K
GPT OSS 20B
Q4_K_M · ~28 tok/s
13.1 GB · up to 128Kfaster
Mac 64 GB
Mac Studio M4 Max · Macs
Seed OSS 36B Instruct
Q4_K_M · ~17 tok/s
24.1 GB · up to 256K
GPT OSS 20B
Q4_K_M · ~86 tok/s
13.1 GB · up to 128Kfaster
Mac 128 GB
Mac Studio M4 Max · Macs
Seed OSS 36B Instruct
Q4_K_M · ~17 tok/s
24.1 GB · up to 512K
GPT OSS 20B
Q4_K_M · ~86 tok/s
13.1 GB · up to 128Kfaster
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
Seed OSS 36B Instruct
GPT OSS 20B
Coding
Seed OSS 36B Instruct
no data
GPT OSS 20B
Science
Seed OSS 36B Instruct
no data
GPT OSS 20B
Reasoning
Seed OSS 36B Instruct
no data
GPT OSS 20B
Seed OSS 36B Instruct · #46 of 100 open models · #8 of 35 that fit 24 GB
GPT OSS 20B · #63 of 100 open models · #15 of 35 that fit 24 GB
Benchmarks
3 shared boards: Seed OSS 36B Instruct leads 3, GPT OSS 20B leads 0 · Benchmarks imported Oct 2026
Seed OSS 36B Instruct
71.5%#31/98 open
IndependentEpoch AI · Aug 2025
GPT OSS 20B
60.8%#42/98 open
IndependentEpoch AI · Aug 2025
Seed OSS 36B Instruct
67.5%#30/86 open
IndependentEpoch AI · Aug 2025
GPT OSS 20B
65.3%#34/86 open
IndependentEpoch AI · Aug 2025
Seed OSS 36B Instruct
82.7%#15/145 open
IndependentTIGER-Lab
GPT OSS 20B
73.6%#33/145 open
IndependentTIGER-Lab
8 more boards (other shared and single-model boards)
Only GPT OSS 20B (8)
- LMArena Text1317.4
- Terminal-Bench3.4%
- SciCode34.4%
- WeirdML40.9%
- CritPt1.4%
- DTBench68.0%
- LMCA14.5%
- ALE-Bench566.0
VRAM by quantization
Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.
Q2_K
Seed OSS 36B Instruct
15.9 GB13.6 GB file
32K 20.0 GB · 128K 32.8 GB
GPT OSS 20B
9.3 GB11.5 GB file
32K 9.8 GB · 128K 11.5 GB
Q3_K_S
Seed OSS 36B Instruct
16.4 GB15.9 GB file
32K 20.4 GB · 128K 33.3 GB
GPT OSS 20B
9.5 GB11.5 GB file
32K 10.0 GB · 128K 11.7 GB
Q3_K_M
Seed OSS 36B Instruct
18.2 GB17.6 GB file
32K 22.2 GB · 128K 35.1 GB
GPT OSS 20B
10.6 GB11.5 GB file
32K 11.1 GB · 128K 12.8 GB
Q4_0
Seed OSS 36B Instruct
18.6 GB20.6 GB file
32K 22.7 GB · 128K 35.6 GB
GPT OSS 20B
10.8 GB11.5 GB file
32K 11.3 GB · 128K 13.0 GB
Q4_K_M
Seed OSS 36B Instruct
22.3 GB21.8 GB file
32K 26.3 GB · 128K 39.2 GB
GPT OSS 20B
12.9 GB11.6 GB file
32K 13.4 GB · 128K 15.1 GB
Q5_K_M
Seed OSS 36B Instruct
26.3 GB25.6 GB file
32K 30.4 GB · 128K 43.2 GB
GPT OSS 20B
15.3 GB11.7 GB file
32K 15.8 GB · 128K 17.5 GB
Q6_K
Seed OSS 36B Instruct
30.4 GB29.7 GB file
32K 34.4 GB · 128K 47.3 GB
GPT OSS 20B
17.6 GB12.0 GB file
32K 18.1 GB · 128K 19.8 GB
Q8_0
Seed OSS 36B Instruct
36.7 GB38.4 GB file
32K 40.8 GB · 128K 53.6 GB
GPT OSS 20B
21.3 GB~20.9 GB file
32K 21.8 GB · 128K 23.5 GB
19 more quants
IQ2_XXS
Seed OSS 36B Instruct
10.5 GB10.2 GB file
32K 14.5 GB · 128K 27.4 GB
GPT OSS 20B
6.1 GB~5.8 GB file
32K 6.6 GB · 128K 8.3 GB
IQ2_XS
Seed OSS 36B Instruct
11.4 GB10.9 GB file
32K 15.4 GB · 128K 28.3 GB
GPT OSS 20B
6.7 GB~6.3 GB file
32K 7.2 GB · 128K 8.9 GB
IQ2_S
Seed OSS 36B Instruct
11.9 GB11.6 GB file
32K 15.9 GB · 128K 28.8 GB
GPT OSS 20B
6.9 GB~6.5 GB file
32K 7.4 GB · 128K 9.1 GB
IQ2_M
Seed OSS 36B Instruct
12.8 GB12.7 GB file
32K 16.8 GB · 128K 29.7 GB
GPT OSS 20B
7.4 GB~7.1 GB file
32K 7.9 GB · 128K 9.6 GB
IQ3_XXS
Seed OSS 36B Instruct
14.6 GB14.3 GB file
32K 18.6 GB · 128K 31.5 GB
GPT OSS 20B
8.5 GB11.6 GB file
32K 9.0 GB · 128K 10.7 GB
Q2_K_S
Seed OSS 36B Instruct
15.0 GB12.6 GB file
32K 19.1 GB · 128K 31.9 GB
GPT OSS 20B
8.7 GB12.1 GB file
32K 9.2 GB · 128K 10.9 GB
IQ3_XS
Seed OSS 36B Instruct
15.5 GB15.1 GB file
32K 19.5 GB · 128K 32.4 GB
GPT OSS 20B
9.0 GB11.6 GB file
32K 9.5 GB · 128K 11.2 GB
IQ3_S
Seed OSS 36B Instruct
15.9 GB15.9 GB file
32K 20.0 GB · 128K 32.8 GB
GPT OSS 20B
9.3 GB12.1 GB file
32K 9.8 GB · 128K 11.5 GB
IQ3_M
Seed OSS 36B Instruct
16.8 GB16.5 GB file
32K 20.9 GB · 128K 33.8 GB
GPT OSS 20B
9.8 GB11.6 GB file
32K 10.3 GB · 128K 12.0 GB
Q3_K_L
Seed OSS 36B Instruct
19.1 GB19.1 GB file
32K 23.1 GB · 128K 36.0 GB
GPT OSS 20B
11.1 GB11.5 GB file
32K 11.6 GB · 128K 13.3 GB
IQ4_XS
Seed OSS 36B Instruct
20.0 GB19.5 GB file
32K 24.0 GB · 128K 36.9 GB
GPT OSS 20B
11.6 GB11.6 GB file
32K 12.1 GB · 128K 13.8 GB
IQ4_NL
Seed OSS 36B Instruct
20.9 GB20.6 GB file
32K 24.9 GB · 128K 37.8 GB
GPT OSS 20B
12.1 GB11.6 GB file
32K 12.6 GB · 128K 14.3 GB
Q4_1
Seed OSS 36B Instruct
20.9 GB22.8 GB file
32K 24.9 GB · 128K 37.8 GB
GPT OSS 20B
12.1 GB11.6 GB file
32K 12.6 GB · 128K 14.3 GB
Q4_K_S
Seed OSS 36B Instruct
20.9 GB20.7 GB file
32K 24.9 GB · 128K 37.8 GB
GPT OSS 20B
12.1 GB11.6 GB file
32K 12.6 GB · 128K 14.3 GB
Q4_K_L
Seed OSS 36B Instruct
22.7 GB22.4 GB file
32K 26.7 GB · 128K 39.6 GB
GPT OSS 20B
13.2 GB11.9 GB file
32K 13.7 GB · 128K 15.4 GB
Q5_0
Seed OSS 36B Instruct
23.2 GB25.0 GB file
32K 27.2 GB · 128K 40.1 GB
GPT OSS 20B
not listed
Q5_K_S
Seed OSS 36B Instruct
25.4 GB25.0 GB file
32K 29.5 GB · 128K 42.3 GB
GPT OSS 20B
14.8 GB11.7 GB file
32K 15.3 GB · 128K 17.0 GB
Q5_K_L
Seed OSS 36B Instruct
26.8 GB26.1 GB file
32K 30.8 GB · 128K 43.7 GB
GPT OSS 20B
15.5 GB11.9 GB file
32K 16.0 GB · 128K 17.7 GB
BF16
Seed OSS 36B Instruct
72.9 GB72.3 GB file
32K 76.9 GB · 128K 89.8 GB
GPT OSS 20B
42.2 GB~41.8 GB file
32K 42.7 GB · 128K 44.4 GB
Seed OSS 36B Instruct
Ollama · Q4_K_M
ollama run hf.co/unsloth/Seed-OSS-36B-Instruct-GGUF:Q4_K_MGPT OSS 20B
Ollama · Q4_K_M
ollama run hf.co/unsloth/gpt-oss-20b-GGUF:Q4_K_M| Spec | Seed OSS 36B Instruct | GPT OSS 20B |
|---|---|---|
| Publisher | ByteDance-Seed | OpenAI |
| Parameters | 36.2B | 20.9B |
| Active parameters | — | 4.2B per token |
| Architecture | SeedOssForCausalLM | GptOssForCausalLM |
| Context | 512K tokens | 128K tokens |
| Modalities | Chat, Function-calling | Chat, Function-calling |
| License | Apache 2.0 | Apache 2.0 |
| Released | Aug 2025 | Aug 2025 |
Frequently Asked Questions
Which is better, Seed OSS 36B Instruct or GPT OSS 20B?
Seed OSS 36B Instruct leads llmrun Score 102.5 to 96.3 (ranges overlap); both fit 24 GB at Q4_K_M; GPT OSS 20B is 6.6× faster on RTX 4090 (~190 vs ~29 tok/s). Choose Seed OSS 36B Instruct for higher llmrun Score and ahead on the benchmarks; choose GPT OSS 20B for fits a 12 GB GPU and 6.6× faster on RTX 4090.
Which needs less VRAM, Seed OSS 36B Instruct or GPT OSS 20B?
At Q4_K_M, Seed OSS 36B Instruct requires 22.3 GB while GPT OSS 20B needs 12.9 GB, making GPT OSS 20B the easier model to run on your local setup.
Which is faster on RTX 4090?
Estimated decode speed on RTX 4090 is about 29 tok/s for Seed OSS 36B Instruct (Q4_K_M) and 190 tok/s for GPT OSS 20B (Q4_K_M), so GPT OSS 20B is faster. Estimates, ±20%.
Can I run Seed OSS 36B Instruct or GPT OSS 20B on a 16 GB GPU?
Seed OSS 36B Instruct fits at IQ2_M; GPT OSS 20B fits at Q4_K_M.
Which has a longer context window, Seed OSS 36B Instruct or GPT OSS 20B?
Seed OSS 36B Instruct supports 524,288 tokens and GPT OSS 20B supports 131,072 tokens.