Mistral Small 4 119B 2603 vs GPT OSS 120B
Mistral Small 4 119B 2603 and GPT OSS 120B match in llmrun Score, with values of 96.4 versus 97.5; neither fits 24 GB.
Model A · Mistral AI
Mistral Small 4 119B 2603119.4B · 7.1B active · 1M context · Apache 2.0 · Jan 2026
Model B · OpenAI
GPT OSS 120B116.8B · 5.8B active · 128K context · Apache 2.0 · Aug 2025
Choose Mistral Small 4 119B 2603 if you want…
Longer context window
1M vs 128K tokens
Newer release
Jan 2026 vs Aug 2025
Choose GPT OSS 120B if you want…
Ahead on the benchmarks
3 of 3 shared boards
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
Mistral Small 4 119B 2603
Doesn't fit
smallest quant needs 42.8 GB
GPT OSS 120B
Doesn't fit
smallest quant needs 40.2 GB
12 GB
RTX 3060 12GB · 12 GB tier
Mistral Small 4 119B 2603
Doesn't fit
smallest quant needs 42.8 GB
GPT OSS 120B
Doesn't fit
smallest quant needs 40.2 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Mistral Small 4 119B 2603
Doesn't fit
smallest quant needs 42.8 GB
GPT OSS 120B
Doesn't fit
smallest quant needs 40.2 GB
24 GBreference
RTX 4090 · 24 GB tier
Mistral Small 4 119B 2603
Doesn't fit
smallest quant needs 42.8 GB
GPT OSS 120B
Doesn't fit
smallest quant needs 40.2 GB
32 GB
RTX 5090 · 32 GB tier
Mistral Small 4 119B 2603
Doesn't fit
smallest quant needs 42.8 GB
GPT OSS 120B
Doesn't fit
smallest quant needs 40.2 GB
48 GB
RTX A6000 · 48 GB tier
Mistral Small 4 119B 2603
IQ2_S · ~152 tok/s
47.3 GB · up to 16K
GPT OSS 120B
IQ2_M · ~169 tok/s
40.2 GB · up to 128K
Mac 32 GB
Mac Mini M4 · Macs
Mistral Small 4 119B 2603
Doesn't fit
smallest quant needs 42.8 GB
GPT OSS 120B
Doesn't fit
smallest quant needs 40.2 GB
Mac 64 GB
Mac Studio M4 Max · Macs
Mistral Small 4 119B 2603
IQ3_XS · ~66 tok/s
59.2 GB · up to 16K
GPT OSS 120B
Q4_0 · ~68 tok/s
59.1 GB · up to 64Kbetter quant
Mac 128 GB
Mac Studio M4 Max · Macs
Mistral Small 4 119B 2603
Q4_K_M · ~54 tok/s
81.6 GB · up to 64K
GPT OSS 120B
Q4_K_M · ~61 tok/s
70.8 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
Mistral Small 4 119B 2603
GPT OSS 120B
Coding
Mistral Small 4 119B 2603
no data
GPT OSS 120B
Agents
Mistral Small 4 119B 2603
no data
GPT OSS 120B
Science
Mistral Small 4 119B 2603
no data
GPT OSS 120B
Reasoning
Mistral Small 4 119B 2603
GPT OSS 120B
Mistral Small 4 119B 2603 · #61 of 100 open models · #28 of 60 that fit ≤96 GB
GPT OSS 120B · #58 of 100 open models · #25 of 60 that fit ≤96 GB
Benchmarks
3 shared boards: Mistral Small 4 119B 2603 leads 0, GPT OSS 120B leads 3 · Benchmarks imported Oct 2026
Mistral Small 4 119B 2603
497.6#32/43 open
Lab-reportedEpoch AI · Mar 2026
GPT OSS 120B
575.6#29/43 open
Lab-reportedEpoch AI · Aug 2025
Mistral Small 4 119B 2603
70.9%#32/68 open
Lab-reportedEpoch AI · Mar 2026
GPT OSS 120B
76.3%#27/68 open
Lab-reportedEpoch AI · Aug 2025
Mistral Small 4 119B 2603
20.6%#33/54 open
Lab-reportedEpoch AI · Mar 2026
GPT OSS 120B
22.1%#32/54 open
Lab-reportedEpoch AI · Aug 2025
18 more boards (other shared and single-model boards)
Only GPT OSS 120B (18)
- SWE-bench Verified26.0%
- GPQA Diamond75.8%
- LMArena Text1351.8
- AIME 2024/202588.9%
- Terminal-Bench18.7%
- MMLU-Pro80.8%
- Aider Polyglot41.8%
- SWE-bench Bash Only26.0%
- SciCode36.0%
- SimpleBench22.1%
- WeirdML48.2%
- APEX-Agents4.4%
- CritPt1.1%
- Fiction.LiveBench44.4%
- Mystery Game Puzzles2.0%
- Vending-Bench 2-21.5
- Surface Evolver Bench25.0%
- METR Time Horizons56.6%
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
Mistral Small 4 119B 2603
52.3 GB42.1 GB file
32K 70.4 GB · 128K 128 GB
GPT OSS 120B
50.1 GB62.6 GB file
32K 50.8 GB · 128K 53.4 GB
Q3_K_S
Mistral Small 4 119B 2603
53.8 GB52.0 GB file
32K 71.9 GB · 128K 130 GB
GPT OSS 120B
51.5 GB62.6 GB file
32K 52.3 GB · 128K 54.8 GB
Q3_K_M
Mistral Small 4 119B 2603
59.7 GB54.6 GB file
32K 77.8 GB · 128K 136 GB
GPT OSS 120B
57.4 GB62.6 GB file
32K 58.1 GB · 128K 60.7 GB
Q4_0
Mistral Small 4 119B 2603
61.2 GB67.7 GB file
32K 79.3 GB · 128K 137 GB
GPT OSS 120B
58.8 GB62.6 GB file
32K 59.6 GB · 128K 62.1 GB
Q4_K_M
Mistral Small 4 119B 2603
73.2 GB72.6 GB file
32K 91.3 GB · 128K 149 GB
GPT OSS 120B
70.5 GB62.8 GB file
32K 71.3 GB · 128K 73.8 GB
Q5_K_M
Mistral Small 4 119B 2603
86.6 GB85.0 GB file
32K 105 GB · 128K 163 GB
GPT OSS 120B
83.7 GB62.9 GB file
32K 84.4 GB · 128K 86.9 GB
Q6_K
Mistral Small 4 119B 2603
100 GB102.8 GB file
32K 118 GB · 128K 176 GB
GPT OSS 120B
96.8 GB63.3 GB file
32K 97.5 GB · 128K 100 GB
Q8_0
Mistral Small 4 119B 2603
121 GB126.5 GB file
32K 139 GB · 128K 197 GB
GPT OSS 120B
117 GB~116.8 GB file
32K 118 GB · 128K 121 GB
20 more quants
IQ2_XXS
Mistral Small 4 119B 2603
34.3 GB33.7 GB file
32K 52.5 GB · 128K 110 GB
GPT OSS 120B
not listed
IQ2_XS
Mistral Small 4 119B 2603
37.3 GB37.0 GB file
32K 55.5 GB · 128K 113 GB
GPT OSS 120B
not listed
IQ2_S
Mistral Small 4 119B 2603
38.8 GB38.1 GB file
32K 56.9 GB · 128K 115 GB
GPT OSS 120B
not listed
IQ2_M
Mistral Small 4 119B 2603
41.8 GB41.6 GB file
32K 59.9 GB · 128K 118 GB
GPT OSS 120B
39.8 GB~39.4 GB file
32K 40.6 GB · 128K 43.1 GB
IQ3_XXS
Mistral Small 4 119B 2603
47.8 GB49.9 GB file
32K 65.9 GB · 128K 124 GB
GPT OSS 120B
not listed
Q2_K_S
Mistral Small 4 119B 2603
49.3 GB40.4 GB file
32K 67.4 GB · 128K 125 GB
GPT OSS 120B
not listed
IQ3_XS
Mistral Small 4 119B 2603
50.8 GB51.8 GB file
32K 68.9 GB · 128K 127 GB
GPT OSS 120B
not listed
IQ3_S
Mistral Small 4 119B 2603
52.3 GB44.4 GB file
32K 70.4 GB · 128K 128 GB
GPT OSS 120B
not listed
IQ3_M
Mistral Small 4 119B 2603
55.2 GB57.0 GB file
32K 73.4 GB · 128K 131 GB
GPT OSS 120B
53.0 GB62.7 GB file
32K 53.7 GB · 128K 56.3 GB
Q3_K_L
Mistral Small 4 119B 2603
62.7 GB56.9 GB file
32K 80.8 GB · 128K 139 GB
GPT OSS 120B
60.3 GB62.6 GB file
32K 61.0 GB · 128K 63.6 GB
IQ4_XS
Mistral Small 4 119B 2603
65.7 GB63.8 GB file
32K 83.8 GB · 128K 142 GB
GPT OSS 120B
63.2 GB62.7 GB file
32K 64.0 GB · 128K 66.5 GB
IQ4_NL
Mistral Small 4 119B 2603
68.7 GB67.5 GB file
32K 86.8 GB · 128K 145 GB
GPT OSS 120B
66.1 GB62.7 GB file
32K 66.9 GB · 128K 69.4 GB
Q4_1
Mistral Small 4 119B 2603
68.7 GB74.5 GB file
32K 86.8 GB · 128K 145 GB
GPT OSS 120B
66.1 GB62.7 GB file
32K 66.9 GB · 128K 69.4 GB
Q4_K_S
Mistral Small 4 119B 2603
68.7 GB69.9 GB file
32K 86.8 GB · 128K 145 GB
GPT OSS 120B
66.1 GB62.8 GB file
32K 66.9 GB · 128K 69.4 GB
Q4_K_L
Mistral Small 4 119B 2603
74.6 GB73.0 GB file
32K 92.8 GB · 128K 151 GB
GPT OSS 120B
72.0 GB63.1 GB file
32K 72.7 GB · 128K 75.3 GB
Q5_0
Mistral Small 4 119B 2603
76.1 GB81.9 GB file
32K 94.3 GB · 128K 152 GB
GPT OSS 120B
not listed
Q5_1
Mistral Small 4 119B 2603
83.6 GB89.3 GB file
32K 102 GB · 128K 160 GB
GPT OSS 120B
not listed
Q5_K_S
Mistral Small 4 119B 2603
83.6 GB82.2 GB file
32K 102 GB · 128K 160 GB
GPT OSS 120B
80.7 GB62.9 GB file
32K 81.5 GB · 128K 84.0 GB
Q5_K_L
Mistral Small 4 119B 2603
88.1 GB85.4 GB file
32K 106 GB · 128K 164 GB
GPT OSS 120B
not listed
BF16
Mistral Small 4 119B 2603
240 GB238.0 GB file
32K 258 GB · 128K 316 GB
GPT OSS 120B
234 GB~233.7 GB file
32K 235 GB · 128K 237 GB
Mistral Small 4 119B 2603
Ollama · Q4_K_M
ollama run hf.co/bartowski/mistralai_Mistral-Small-4-119B-2603-GGUF:Q4_K_MGPT OSS 120B
Ollama · Q4_K_M
ollama run hf.co/unsloth/gpt-oss-120b-GGUF:Q4_K_M| Spec | Mistral Small 4 119B 2603 | GPT OSS 120B |
|---|---|---|
| Publisher | Mistral AI | OpenAI |
| Parameters | 119.4B | 116.8B |
| Active parameters | 7.1B per token | 5.8B per token |
| Architecture | Mistral3ForConditionalGeneration | GptOssForCausalLM |
| Context | 1M tokens | 128K tokens |
| Modalities | Chat, Function-calling | Chat, Function-calling |
| License | Apache 2.0 | Apache 2.0 |
| Released | Jan 2026 | Aug 2025 |
Frequently Asked Questions
Which is better, Mistral Small 4 119B 2603 or GPT OSS 120B?
Mistral Small 4 119B 2603 and GPT OSS 120B match in llmrun Score, with values of 96.4 versus 97.5; neither fits 24 GB. Choose Mistral Small 4 119B 2603 for longer context window and newer release; choose GPT OSS 120B for ahead on the benchmarks.
Which needs less VRAM, Mistral Small 4 119B 2603 or GPT OSS 120B?
At Q4_K_M, Mistral Small 4 119B 2603 requires 73.2 GB while GPT OSS 120B needs 70.5 GB, making GPT OSS 120B the easier model to run on your local setup.
Can I run Mistral Small 4 119B 2603 or GPT OSS 120B on a 16 GB GPU?
Mistral Small 4 119B 2603 does not fit (smallest quant needs 42.8 GB); GPT OSS 120B does not fit (smallest quant needs 40.2 GB).
Which has a longer context window, Mistral Small 4 119B 2603 or GPT OSS 120B?
Mistral Small 4 119B 2603 supports 1,048,576 tokens and GPT OSS 120B supports 131,072 tokens.