Mistral Small 3.1 24B Instruct 2503 vs Qwen2.5 32B Instruct
Mistral Small 3.1 24B Instruct 2503 and Qwen2.5 32B Instruct match in llmrun Score, with values of 78.8 versus 80.4; both fit 24 GB at Q4_K_M; Mistral Small 3.1 24B Instruct 2503 is 1.3× faster on RTX 4090 (~43 vs ~32 tok/s).
Model A · Mistral AI
Mistral Small 3.1 24B Instruct 250324.0B · 128K context · Apache 2.0 · Mar 2025
Model B · Alibaba
Qwen2.5 32B Instruct32.8B · 32K context · Apache 2.0 · Sep 2024
Choose Mistral Small 3.1 24B Instruct 2503 if you want…
Fits a 16 GB GPU
Q4_K_M · 18.1 GB; Qwen2.5 32B Instruct needs 13.6 GB at its smallest quant
1.3× faster on RTX 4090
~43 vs ~32 tok/s
Lighter on memory
15.1 vs 20.5 GB at Q4_K_M
Longer context window
128K vs 32K tokens
Newer release
Mar 2025 vs Sep 2024
Choose Qwen2.5 32B Instruct if you want…
Also does function-calling
Mistral Small 3.1 24B Instruct 2503 doesn't list it
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 3.1 24B Instruct 2503
Doesn't fit
smallest quant needs 10.3 GB
Qwen2.5 32B Instruct
Doesn't fit
smallest quant needs 13.6 GB
12 GB
RTX 3060 12GB · 12 GB tier
Mistral Small 3.1 24B Instruct 2503
IQ2_M · ~27 tok/s
11.8 GB · up to 16Kfits
Qwen2.5 32B Instruct
Doesn't fit
smallest quant needs 13.6 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Mistral Small 3.1 24B Instruct 2503
Q4_K_M · ~19 tok/stight
18.1 GB · up to 4K
Qwen2.5 32B Instruct
IQ2_M · ~25 tok/s
15.7 GB · up to 16Kmore headroom
24 GBreference
RTX 4090 · 24 GB tier
Mistral Small 3.1 24B Instruct 2503
Q4_K_M · ~43 tok/s
18.1 GB · up to 32Kmore headroom
Qwen2.5 32B Instruct
Q4_K_M · ~32 tok/stight
24.3 GB · up to 8K
32 GB
RTX 5090 · 32 GB tier
Mistral Small 3.1 24B Instruct 2503
Q4_K_M · ~77 tok/s
18.1 GB · up to 64Kfaster
Qwen2.5 32B Instruct
Q4_K_M · ~57 tok/s
24.3 GB · up to 32K
48 GB
RTX A6000 · 48 GB tier
Mistral Small 3.1 24B Instruct 2503
Q4_K_M · ~33 tok/s
18.1 GB · up to 128Kfaster
Qwen2.5 32B Instruct
Q4_K_M · ~24 tok/s
24.3 GB · up to 32K
Mac 32 GB
Mac Mini M4 · Macs
Mistral Small 3.1 24B Instruct 2503
Q4_K_M · ~6 tok/s
18.1 GB · up to 64Kfaster
Qwen2.5 32B Instruct
Q4_K_M · ~4 tok/s
24.3 GB · up to 16K
Mac 64 GB
Mac Studio M4 Max · Macs
Mistral Small 3.1 24B Instruct 2503
Q4_K_M · ~25 tok/s
18.1 GB · up to 128Kfaster
Qwen2.5 32B Instruct
Q4_K_M · ~19 tok/s
24.3 GB · up to 32K
Mac 128 GB
Mac Studio M4 Max · Macs
Mistral Small 3.1 24B Instruct 2503
Q4_K_M · ~25 tok/s
18.1 GB · up to 128Kfaster
Qwen2.5 32B Instruct
Q4_K_M · ~19 tok/s
24.3 GB · up to 32K
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
Mistral Small 3.1 24B Instruct 2503
Qwen2.5 32B Instruct
Science
Mistral Small 3.1 24B Instruct 2503
Qwen2.5 32B Instruct
no data
Reasoning
Mistral Small 3.1 24B Instruct 2503
Qwen2.5 32B Instruct
no data
Mistral Small 3.1 24B Instruct 2503 · #79 of 92 open models · #25 of 34 that fit 24 GB
Qwen2.5 32B Instruct · #76 of 92 open models · #23 of 34 that fit 24 GB
Benchmarks
4 shared boards: Mistral Small 3.1 24B Instruct 2503 leads 2, Qwen2.5 32B Instruct leads 2 · Benchmarks imported Oct 2026
Mistral Small 3.1 24B Instruct 2503
47.5%#58/97 open
IndependentEpoch AI · Mar 2025
Qwen2.5 32B Instruct
46.1%#62/97 open
IndependentEpoch AI · Sep 2024
Mistral Small 3.1 24B Instruct 2503
5.8%#66/85 open
IndependentEpoch AI · Mar 2025
Qwen2.5 32B Instruct
7.4%#64/85 open
IndependentEpoch AI · Sep 2024
Mistral Small 3.1 24B Instruct 2503
46.8%#16/39 open
IndependentEpoch AI · Mar 2025
Qwen2.5 32B Instruct
56.1%#13/39 open
IndependentEpoch AI · Sep 2024
Mistral Small 3.1 24B Instruct 2503
1.0%#43/67 open
IndependentEpoch AI · Mar 2025
Qwen2.5 32B Instruct
0.0%#63/67 open
IndependentEpoch AI · Sep 2024
5 more boards (other shared and single-model boards)
Only Mistral Small 3.1 24B Instruct 2503 (4)
- LMArena Text1302.8
- SciCode26.5%
- CritPt0.0%
- DTBench58.6%
Only Qwen2.5 32B Instruct (1)
- MMLU-Pro69.2%
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 3.1 24B Instruct 2503
10.9 GB8.9 GB file
32K 17.2 GB · 128K 37.3 GB
Qwen2.5 32B Instruct
14.8 GB12.3 GB file
32K 22.8 GB · 128K —
Q3_K_S
Mistral Small 3.1 24B Instruct 2503
11.2 GB10.4 GB file
32K 17.5 GB · 128K 37.6 GB
Qwen2.5 32B Instruct
15.2 GB14.4 GB file
32K 23.2 GB · 128K —
Q3_K_M
Mistral Small 3.1 24B Instruct 2503
12.4 GB11.5 GB file
32K 18.7 GB · 128K 38.8 GB
Qwen2.5 32B Instruct
16.8 GB15.9 GB file
32K 24.9 GB · 128K —
Q4_0
Mistral Small 3.1 24B Instruct 2503
12.7 GB13.5 GB file
32K 19.0 GB · 128K 39.2 GB
Qwen2.5 32B Instruct
17.2 GB18.6 GB file
32K 25.3 GB · 128K —
Q4_K_M
Mistral Small 3.1 24B Instruct 2503
15.1 GB14.3 GB file
32K 21.4 GB · 128K 41.6 GB
Qwen2.5 32B Instruct
20.5 GB19.9 GB file
32K 28.6 GB · 128K —
Q5_K_M
Mistral Small 3.1 24B Instruct 2503
17.8 GB16.8 GB file
32K 24.1 GB · 128K 44.3 GB
Qwen2.5 32B Instruct
24.2 GB23.3 GB file
32K 32.2 GB · 128K —
Q6_K
Mistral Small 3.1 24B Instruct 2503
20.5 GB19.3 GB file
32K 26.8 GB · 128K 47.0 GB
Qwen2.5 32B Instruct
27.9 GB26.9 GB file
32K 35.9 GB · 128K —
Q8_0
Mistral Small 3.1 24B Instruct 2503
24.7 GB25.1 GB file
32K 31.0 GB · 128K 51.2 GB
Qwen2.5 32B Instruct
33.6 GB34.8 GB file
32K 41.7 GB · 128K —
19 more quants
IQ2_XXS
Mistral Small 3.1 24B Instruct 2503
7.3 GB6.8 GB file
32K 13.6 GB · 128K 33.7 GB
Qwen2.5 32B Instruct
9.9 GB9.0 GB file
32K 17.9 GB · 128K —
IQ2_XS
Mistral Small 3.1 24B Instruct 2503
7.9 GB7.2 GB file
32K 14.2 GB · 128K 34.3 GB
Qwen2.5 32B Instruct
10.7 GB10.0 GB file
32K 18.7 GB · 128K —
IQ2_S
Mistral Small 3.1 24B Instruct 2503
8.2 GB7.5 GB file
32K 14.5 GB · 128K 34.6 GB
Qwen2.5 32B Instruct
11.1 GB10.4 GB file
32K 19.1 GB · 128K —
IQ2_M
Mistral Small 3.1 24B Instruct 2503
8.8 GB8.2 GB file
32K 15.1 GB · 128K 35.2 GB
Qwen2.5 32B Instruct
11.9 GB11.3 GB file
32K 19.9 GB · 128K —
IQ3_XXS
Mistral Small 3.1 24B Instruct 2503
10.0 GB9.4 GB file
32K 16.3 GB · 128K 36.4 GB
Qwen2.5 32B Instruct
13.5 GB12.8 GB file
32K 21.6 GB · 128K —
Q2_K_S
Mistral Small 3.1 24B Instruct 2503
10.3 GB8.3 GB file
32K 16.6 GB · 128K 36.7 GB
Qwen2.5 32B Instruct
13.9 GB11.5 GB file
32K 22.0 GB · 128K —
IQ3_XS
Mistral Small 3.1 24B Instruct 2503
10.6 GB9.9 GB file
32K 16.9 GB · 128K 37.0 GB
Qwen2.5 32B Instruct
14.4 GB13.7 GB file
32K 22.4 GB · 128K —
IQ3_S
Mistral Small 3.1 24B Instruct 2503
10.9 GB10.4 GB file
32K 17.2 GB · 128K 37.3 GB
Qwen2.5 32B Instruct
14.8 GB14.4 GB file
32K 22.8 GB · 128K —
IQ3_M
Mistral Small 3.1 24B Instruct 2503
11.5 GB10.7 GB file
32K 17.8 GB · 128K 37.9 GB
Qwen2.5 32B Instruct
15.6 GB14.8 GB file
32K 23.6 GB · 128K —
Q3_K_L
Mistral Small 3.1 24B Instruct 2503
13.0 GB12.4 GB file
32K 19.3 GB · 128K 39.5 GB
Qwen2.5 32B Instruct
17.6 GB17.2 GB file
32K 25.7 GB · 128K —
IQ4_XS
Mistral Small 3.1 24B Instruct 2503
13.6 GB12.8 GB file
32K 19.9 GB · 128K 40.1 GB
Qwen2.5 32B Instruct
18.5 GB17.7 GB file
32K 26.5 GB · 128K —
IQ4_NL
Mistral Small 3.1 24B Instruct 2503
14.2 GB13.5 GB file
32K 20.5 GB · 128K 40.7 GB
Qwen2.5 32B Instruct
not listed
Q4_1
Mistral Small 3.1 24B Instruct 2503
14.2 GB14.9 GB file
32K 20.5 GB · 128K 40.7 GB
Qwen2.5 32B Instruct
19.3 GB20.6 GB file
32K 27.3 GB · 128K —
Q4_K_S
Mistral Small 3.1 24B Instruct 2503
14.2 GB13.5 GB file
32K 20.5 GB · 128K 40.7 GB
Qwen2.5 32B Instruct
19.3 GB18.8 GB file
32K 27.3 GB · 128K —
Q4_K_L
Mistral Small 3.1 24B Instruct 2503
15.4 GB14.8 GB file
32K 21.7 GB · 128K 41.9 GB
Qwen2.5 32B Instruct
20.9 GB20.4 GB file
32K 29.0 GB · 128K —
Q5_0
Mistral Small 3.1 24B Instruct 2503
15.7 GB16.3 GB file
32K 22.0 GB · 128K 42.2 GB
Qwen2.5 32B Instruct
21.3 GB22.6 GB file
32K 29.4 GB · 128K —
Q5_K_S
Mistral Small 3.1 24B Instruct 2503
17.2 GB16.3 GB file
32K 23.5 GB · 128K 43.7 GB
Qwen2.5 32B Instruct
23.4 GB22.6 GB file
32K 31.4 GB · 128K —
Q5_K_L
Mistral Small 3.1 24B Instruct 2503
18.1 GB17.2 GB file
32K 24.4 GB · 128K 44.6 GB
Qwen2.5 32B Instruct
24.6 GB23.7 GB file
32K 32.6 GB · 128K —
BF16
Mistral Small 3.1 24B Instruct 2503
48.7 GB47.2 GB file
32K 55.0 GB · 128K 75.2 GB
Qwen2.5 32B Instruct
66.4 GB~65.5 GB file
32K 74.4 GB · 128K —
Mistral Small 3.1 24B Instruct 2503
Ollama · Q4_K_M
ollama run hf.co/unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF:Q4_K_MQwen2.5 32B Instruct
Ollama · Q4_K_M
ollama run hf.co/bartowski/Qwen2.5-32B-Instruct-GGUF:Q4_K_M| Spec | Mistral Small 3.1 24B Instruct 2503 | Qwen2.5 32B Instruct |
|---|---|---|
| Publisher | Mistral AI | Alibaba |
| Parameters | 24.0B | 32.8B |
| Architecture | Mistral3ForConditionalGeneration | Qwen2ForCausalLM |
| Context | 128K tokens | 32K tokens |
| Modalities | Chat | Chat, Function-calling |
| License | Apache 2.0 | Apache 2.0 |
| Released | Mar 2025 | Sep 2024 |
Frequently Asked Questions
Which is better, Mistral Small 3.1 24B Instruct 2503 or Qwen2.5 32B Instruct?
Mistral Small 3.1 24B Instruct 2503 and Qwen2.5 32B Instruct match in llmrun Score, with values of 78.8 versus 80.4; both fit 24 GB at Q4_K_M; Mistral Small 3.1 24B Instruct 2503 is 1.3× faster on RTX 4090 (~43 vs ~32 tok/s). Choose Mistral Small 3.1 24B Instruct 2503 for fits a 16 GB GPU and 1.3× faster on RTX 4090; choose Qwen2.5 32B Instruct for also does function-calling.
Which needs less VRAM, Mistral Small 3.1 24B Instruct 2503 or Qwen2.5 32B Instruct?
At Q4_K_M, Mistral Small 3.1 24B Instruct 2503 requires 15.1 GB while Qwen2.5 32B Instruct needs 20.5 GB, making Mistral Small 3.1 24B Instruct 2503 the easier model to run on your local setup.
Which is faster on RTX 4090?
Estimated decode speed on RTX 4090 is about 43 tok/s for Mistral Small 3.1 24B Instruct 2503 (Q4_K_M) and 32 tok/s for Qwen2.5 32B Instruct (Q4_K_M), so Mistral Small 3.1 24B Instruct 2503 is faster. Estimates, ±20%.
Can I run Mistral Small 3.1 24B Instruct 2503 or Qwen2.5 32B Instruct on a 16 GB GPU?
Mistral Small 3.1 24B Instruct 2503 fits at Q4_K_M; Qwen2.5 32B Instruct fits at IQ2_M.
Which has a longer context window, Mistral Small 3.1 24B Instruct 2503 or Qwen2.5 32B Instruct?
Mistral Small 3.1 24B Instruct 2503 supports 131,072 tokens and Qwen2.5 32B Instruct supports 32,768 tokens.