Gemma 2 27B IT vs Mistral Small 3.1 24B Instruct 2503
Mistral Small 3.1 24B Instruct 2503 leads llmrun Score 79.0 to 72.7 (ranges overlap); both fit 24 GB at Q4_K_M.
Model B · Mistral AI
Mistral Small 3.1 24B Instruct 250324.0B · 128K context · Apache 2.0 · Mar 2025
Choose Mistral Small 3.1 24B Instruct 2503 if you want…
Higher llmrun Score
79.0 vs 72.7, ranges overlap
Ahead on the benchmarks
3 of 3 shared boards
Lighter on memory
15.1 vs 18.0 GB at Q4_K_M
Longer context window
128K vs 8K tokens
More permissive license
Apache 2.0 vs Gemma Terms
Newer release
Mar 2025 vs Jun 2024
Gemma 2 27B IT: no clear edge over Mistral Small 3.1 24B Instruct 2503 in the data we have.
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
Gemma 2 27B IT
Doesn't fit
smallest quant needs 9.8 GB
Mistral Small 3.1 24B Instruct 2503
Doesn't fit
smallest quant needs 10.3 GB
12 GB
RTX 3060 12GB · 12 GB tier
Gemma 2 27B IT
IQ2_M · ~23 tok/s
11.7 GB · up to 8K
Mistral Small 3.1 24B Instruct 2503
IQ2_M · ~27 tok/s
11.8 GB · up to 16Kfaster
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Gemma 2 27B IT
IQ3_M · ~22 tok/s
15 GB · up to 8Kmore headroom
Mistral Small 3.1 24B Instruct 2503
Q4_K_M · ~19 tok/stight
18.1 GB · up to 4K
24 GBreference
RTX 4090 · 24 GB tier
Gemma 2 27B IT
Q4_K_M · ~37 tok/s
19.5 GB · up to 8K
Mistral Small 3.1 24B Instruct 2503
Q4_K_M · ~43 tok/s
18.1 GB · up to 32Kfaster
32 GB
RTX 5090 · 32 GB tier
Gemma 2 27B IT
Q4_K_M · ~65 tok/s
19.5 GB · up to 8K
Mistral Small 3.1 24B Instruct 2503
Q4_K_M · ~77 tok/s
18.1 GB · up to 64Kfaster
48 GB
RTX A6000 · 48 GB tier
Gemma 2 27B IT
Q4_K_M · ~28 tok/s
19.5 GB · up to 8K
Mistral Small 3.1 24B Instruct 2503
Q4_K_M · ~33 tok/s
18.1 GB · up to 128Kfaster
Mac 32 GB
Mac Mini M4 · Macs
Gemma 2 27B IT
Q4_K_M · ~5 tok/s
19.5 GB · up to 8K
Mistral Small 3.1 24B Instruct 2503
Q4_K_M · ~6 tok/s
18.1 GB · up to 64Kfaster
Mac 64 GB
Mac Studio M4 Max · Macs
Gemma 2 27B IT
Q4_K_M · ~21 tok/s
19.5 GB · up to 8K
Mistral Small 3.1 24B Instruct 2503
Q4_K_M · ~25 tok/s
18.1 GB · up to 128Kfaster
Mac 128 GB
Mac Studio M4 Max · Macs
Gemma 2 27B IT
Q4_K_M · ~21 tok/s
19.5 GB · up to 8K
Mistral Small 3.1 24B Instruct 2503
Q4_K_M · ~25 tok/s
18.1 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
Gemma 2 27B IT
Mistral Small 3.1 24B Instruct 2503
Science
Gemma 2 27B IT
no data
Mistral Small 3.1 24B Instruct 2503
Gemma 2 27B IT · #91 of 100 open models · #28 of 35 that fit 24 GB
Mistral Small 3.1 24B Instruct 2503 · #86 of 100 open models · #26 of 35 that fit 24 GB
Benchmarks
3 shared boards: Gemma 2 27B IT leads 0, Mistral Small 3.1 24B Instruct 2503 leads 3 · Benchmarks imported Oct 2026
Gemma 2 27B IT
36.5%#74/98 open
IndependentEpoch AI · Jun 2024
Mistral Small 3.1 24B Instruct 2503
47.5%#59/98 open
IndependentEpoch AI · Mar 2025
Gemma 2 27B IT
1.4%#78/86 open
IndependentEpoch AI · Jun 2024
Mistral Small 3.1 24B Instruct 2503
5.8%#67/86 open
IndependentEpoch AI · Mar 2025
Gemma 2 27B IT
27.9%#24/39 open
IndependentEpoch AI · Jun 2024
Mistral Small 3.1 24B Instruct 2503
46.8%#16/39 open
IndependentEpoch AI · Mar 2025
6 more boards (other shared and single-model boards)
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
Gemma 2 27B IT
12.7 GB10.4 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
10.9 GB8.9 GB file
32K 17.2 GB · 128K 37.3 GB
Q3_K_S
Gemma 2 27B IT
13.1 GB12.2 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
11.2 GB10.4 GB file
32K 17.5 GB · 128K 37.6 GB
Q3_K_M
Gemma 2 27B IT
14.6 GB13.4 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
12.4 GB11.5 GB file
32K 18.7 GB · 128K 38.8 GB
Q4_0
Gemma 2 27B IT
15.0 GB15.7 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
12.7 GB13.5 GB file
32K 19.0 GB · 128K 39.2 GB
Q4_K_M
Gemma 2 27B IT
18.0 GB16.6 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
15.1 GB14.3 GB file
32K 21.4 GB · 128K 41.6 GB
Q5_K_M
Gemma 2 27B IT
21.3 GB19.4 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
17.8 GB16.8 GB file
32K 24.1 GB · 128K 44.3 GB
Q6_K
Gemma 2 27B IT
24.7 GB22.3 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
20.5 GB19.3 GB file
32K 26.8 GB · 128K 47.0 GB
Q8_0
Gemma 2 27B IT
30.0 GB28.9 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
24.7 GB25.1 GB file
32K 31.0 GB · 128K 51.2 GB
19 more quants
IQ2_XXS
Gemma 2 27B IT
8.2 GB7.6 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
7.3 GB6.8 GB file
32K 13.6 GB · 128K 33.7 GB
IQ2_XS
Gemma 2 27B IT
9.0 GB8.4 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
7.9 GB7.2 GB file
32K 14.2 GB · 128K 34.3 GB
IQ2_S
Gemma 2 27B IT
9.4 GB8.7 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
8.2 GB7.5 GB file
32K 14.5 GB · 128K 34.6 GB
IQ2_M
Gemma 2 27B IT
10.1 GB9.4 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
8.8 GB8.2 GB file
32K 15.1 GB · 128K 35.2 GB
IQ3_XXS
Gemma 2 27B IT
11.6 GB10.8 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
10.0 GB9.4 GB file
32K 16.3 GB · 128K 36.4 GB
Q2_K_S
Gemma 2 27B IT
not listed
Mistral Small 3.1 24B Instruct 2503
10.3 GB8.3 GB file
32K 16.6 GB · 128K 36.7 GB
IQ3_XS
Gemma 2 27B IT
12.4 GB11.6 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
10.6 GB9.9 GB file
32K 16.9 GB · 128K 37.0 GB
IQ3_S
Gemma 2 27B IT
12.7 GB12.2 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
10.9 GB10.4 GB file
32K 17.2 GB · 128K 37.3 GB
IQ3_M
Gemma 2 27B IT
13.5 GB12.5 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
11.5 GB10.7 GB file
32K 17.8 GB · 128K 37.9 GB
Q3_K_L
Gemma 2 27B IT
15.4 GB14.5 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
13.0 GB12.4 GB file
32K 19.3 GB · 128K 39.5 GB
IQ4_XS
Gemma 2 27B IT
16.1 GB14.8 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
13.6 GB12.8 GB file
32K 19.9 GB · 128K 40.1 GB
IQ4_NL
Gemma 2 27B IT
not listed
Mistral Small 3.1 24B Instruct 2503
14.2 GB13.5 GB file
32K 20.5 GB · 128K 40.7 GB
Q4_1
Gemma 2 27B IT
not listed
Mistral Small 3.1 24B Instruct 2503
14.2 GB14.9 GB file
32K 20.5 GB · 128K 40.7 GB
Q4_K_S
Gemma 2 27B IT
16.9 GB15.7 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
14.2 GB13.5 GB file
32K 20.5 GB · 128K 40.7 GB
Q4_K_L
Gemma 2 27B IT
18.3 GB16.9 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
15.4 GB14.8 GB file
32K 21.7 GB · 128K 41.9 GB
Q5_0
Gemma 2 27B IT
18.7 GB18.9 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
15.7 GB16.3 GB file
32K 22.0 GB · 128K 42.2 GB
Q5_K_S
Gemma 2 27B IT
20.6 GB18.9 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
17.2 GB16.3 GB file
32K 23.5 GB · 128K 43.7 GB
Q5_K_L
Gemma 2 27B IT
21.7 GB19.7 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
18.1 GB17.2 GB file
32K 24.4 GB · 128K 44.6 GB
BF16
Gemma 2 27B IT
59.9 GB~54.5 GB file
32K — · 128K —
Mistral Small 3.1 24B Instruct 2503
48.7 GB47.2 GB file
32K 55.0 GB · 128K 75.2 GB
Gemma 2 27B IT
Ollama · Q4_K_M
ollama run hf.co/bartowski/gemma-2-27b-it-GGUF:Q4_K_MMistral 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_M| Spec | Gemma 2 27B IT | Mistral Small 3.1 24B Instruct 2503 |
|---|---|---|
| Publisher | Mistral AI | |
| Parameters | 27.2B | 24.0B |
| Architecture | — | Mistral3ForConditionalGeneration |
| Context | 8K tokens | 128K tokens |
| Modalities | Chat | Chat |
| License | Gemma Terms | Apache 2.0 |
| Released | Jun 2024 | Mar 2025 |
Frequently Asked Questions
Which is better, Gemma 2 27B IT or Mistral Small 3.1 24B Instruct 2503?
Mistral Small 3.1 24B Instruct 2503 leads llmrun Score 79.0 to 72.7 (ranges overlap); both fit 24 GB at Q4_K_M. Choose Mistral Small 3.1 24B Instruct 2503 for higher llmrun Score and ahead on the benchmarks.
Which needs less VRAM, Gemma 2 27B IT or Mistral Small 3.1 24B Instruct 2503?
At Q4_K_M, Gemma 2 27B IT requires 18.0 GB while Mistral Small 3.1 24B Instruct 2503 needs 15.1 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 37 tok/s for Gemma 2 27B IT (Q4_K_M) and 43 tok/s for Mistral Small 3.1 24B Instruct 2503 (Q4_K_M), so Mistral Small 3.1 24B Instruct 2503 is faster. Estimates, ±20%.
Can I run Gemma 2 27B IT or Mistral Small 3.1 24B Instruct 2503 on a 16 GB GPU?
Gemma 2 27B IT fits at IQ3_M; Mistral Small 3.1 24B Instruct 2503 fits at Q4_K_M.
Which has a longer context window, Gemma 2 27B IT or Mistral Small 3.1 24B Instruct 2503?
Gemma 2 27B IT supports 8,192 tokens and Mistral Small 3.1 24B Instruct 2503 supports 131,072 tokens.