Gemma 4 31B IT vs Qwen2.5 Coder 32B Instruct
Gemma 4 31B IT leads llmrun Score 106.7 to 81.9; both fit 24 GB at Q4_K_M.
Model A · Google
Gemma 4 31B IT31.3B · 256K context · Apache 2.0 · Mar 2026
Model B · Alibaba
Qwen2.5 Coder 32B Instruct32.8B · 32K context · Apache 2.0 · Nov 2024
Choose Gemma 4 31B IT if you want…
Higher llmrun Score
106.7 vs 81.9
Fits a 16 GB GPU
IQ3_XS · 15.8 GB; Qwen2.5 Coder 32B Instruct needs 13.6 GB at its smallest quant
Longer context window
256K vs 32K tokens
Also does vision
Qwen2.5 Coder 32B Instruct doesn't list it
Newer release
Mar 2026 vs Nov 2024
Choose Qwen2.5 Coder 32B Instruct if you want…
Also does chat, code
Gemma 4 31B IT 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
Gemma 4 31B IT
Doesn't fit
smallest quant needs 11.5 GB
Qwen2.5 Coder 32B Instruct
Doesn't fit
smallest quant needs 13.6 GB
12 GB
RTX 3060 12GB · 12 GB tier
Gemma 4 31B IT
IQ2_XXS · ~23 tok/s
11.5 GB · up to 16Kfits
Qwen2.5 Coder 32B Instruct
Doesn't fit
smallest quant needs 13.6 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Gemma 4 31B IT
IQ3_XS · ~20 tok/s
15.8 GB · up to 16Kbetter quant
Qwen2.5 Coder 32B Instruct
IQ2_M · ~25 tok/s
15.7 GB · up to 16K
24 GBreference
RTX 4090 · 24 GB tier
Gemma 4 31B IT
Q4_K_M · ~32 tok/s
21.7 GB · up to 32Kmore headroom
Qwen2.5 Coder 32B Instruct
Q4_K_M · ~32 tok/stight
24.3 GB · up to 8K
32 GB
RTX 5090 · 32 GB tier
Gemma 4 31B IT
Q4_K_M · ~57 tok/s
21.7 GB · up to 64K
Qwen2.5 Coder 32B Instruct
Q4_K_M · ~57 tok/s
24.3 GB · up to 32K
48 GB
RTX A6000 · 48 GB tier
Gemma 4 31B IT
Q4_K_M · ~25 tok/s
21.7 GB · up to 128K
Qwen2.5 Coder 32B Instruct
Q4_K_M · ~24 tok/s
24.3 GB · up to 32K
Mac 32 GB
Mac Mini M4 · Macs
Gemma 4 31B IT
Q4_K_M · ~4 tok/s
21.7 GB · up to 64K
Qwen2.5 Coder 32B Instruct
Q4_K_M · ~4 tok/s
24.3 GB · up to 16K
Mac 64 GB
Mac Studio M4 Max · Macs
Gemma 4 31B IT
Q4_K_M · ~19 tok/s
21.7 GB · up to 256K
Qwen2.5 Coder 32B Instruct
Q4_K_M · ~19 tok/s
24.3 GB · up to 32K
Mac 128 GB
Mac Studio M4 Max · Macs
Gemma 4 31B IT
Q4_K_M · ~19 tok/s
21.7 GB · up to 256K
Qwen2.5 Coder 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
Gemma 4 31B IT
Qwen2.5 Coder 32B Instruct
Coding
Gemma 4 31B IT
Qwen2.5 Coder 32B Instruct
no data
Agents
Gemma 4 31B IT
no data
Qwen2.5 Coder 32B Instruct
Science
Gemma 4 31B IT
Qwen2.5 Coder 32B Instruct
no data
Reasoning
Gemma 4 31B IT
Qwen2.5 Coder 32B Instruct
no data
Gemma 4 31B IT · #42 of 106 open models · #4 of 36 that fit 24 GB
Qwen2.5 Coder 32B Instruct · #86 of 106 open models · #24 of 36 that fit 24 GB
24 more boards (other shared and single-model boards)
Gemma 4 31B IT
1452.3#14/188 open
ArenaLMArena · Oct 2026
Qwen2.5 Coder 32B Instruct
1270.6#123/188 open
ArenaLMArena · Oct 2026
Only Gemma 4 31B IT (19)
- GPQA Diamond75.8%
- AIME 2024/202573.3%
- LMArena WebDev1368.7
- SciCode45.5%
- SimpleQA10.4%
- WeirdML52.3%
- CritPt1.4%
- DTBench82.7%
- ForecastBench61.3
- LiveBench 2026 Reasoning68.3
- LMCA39.3%
- LiveBench 2026 Browser4.0
- LiveBench 2026 Data Analysis53.3
- ALE-Bench925.5
- LiveBench 2026 Coding49.0
- LiveBench 2026 Long-Horizon13.3
- Surface Evolver Bench30.6%
- LiveBench 2026 Design58.4
- LiveBench 2026 Research44.4
Only Qwen2.5 Coder 32B Instruct (4)
- SWE-bench Verified47.0%
- Aider Polyglot16.4%
- SWE-bench Bash Only9.0%
- GSM8K93.0%
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
Gemma 4 31B IT
14.9 GB12.6 GB file
32K 18.4 GB · 128K 31.0 GB
Qwen2.5 Coder 32B Instruct
14.8 GB12.3 GB file
32K 22.8 GB · 128K —
Q3_K_S
Gemma 4 31B IT
15.3 GB13.2 GB file
32K 18.7 GB · 128K 31.4 GB
Qwen2.5 Coder 32B Instruct
15.2 GB14.4 GB file
32K 23.2 GB · 128K —
Q3_K_M
Gemma 4 31B IT
16.9 GB14.7 GB file
32K 20.3 GB · 128K 33.0 GB
Qwen2.5 Coder 32B Instruct
16.8 GB15.9 GB file
32K 24.9 GB · 128K —
Q4_0
Gemma 4 31B IT
17.3 GB17.3 GB file
32K 20.7 GB · 128K 33.4 GB
Qwen2.5 Coder 32B Instruct
17.2 GB18.6 GB file
32K 25.3 GB · 128K —
Q4_K_M
Gemma 4 31B IT
20.4 GB18.3 GB file
32K 23.8 GB · 128K 36.5 GB
Qwen2.5 Coder 32B Instruct
20.5 GB19.9 GB file
32K 28.6 GB · 128K —
Q5_K_M
Gemma 4 31B IT
23.9 GB21.7 GB file
32K 27.3 GB · 128K 40.0 GB
Qwen2.5 Coder 32B Instruct
24.2 GB23.3 GB file
32K 32.2 GB · 128K —
Q6_K
Gemma 4 31B IT
27.4 GB25.2 GB file
32K 30.9 GB · 128K 43.5 GB
Qwen2.5 Coder 32B Instruct
27.9 GB26.9 GB file
32K 35.9 GB · 128K —
Q8_0
Gemma 4 31B IT
32.9 GB32.6 GB file
32K 36.3 GB · 128K 49.0 GB
Qwen2.5 Coder 32B Instruct
33.6 GB34.8 GB file
32K 41.7 GB · 128K —
19 more quants
IQ2_XXS
Gemma 4 31B IT
10.2 GB8.5 GB file
32K 13.7 GB · 128K 26.3 GB
Qwen2.5 Coder 32B Instruct
9.9 GB9.0 GB file
32K 17.9 GB · 128K —
IQ2_XS
Gemma 4 31B IT
11.0 GB11.5 GB file
32K 14.4 GB · 128K 27.1 GB
Qwen2.5 Coder 32B Instruct
10.7 GB10.0 GB file
32K 18.7 GB · 128K —
IQ2_S
Gemma 4 31B IT
11.4 GB12.1 GB file
32K 14.8 GB · 128K 27.5 GB
Qwen2.5 Coder 32B Instruct
11.1 GB10.4 GB file
32K 19.1 GB · 128K —
IQ2_M
Gemma 4 31B IT
12.2 GB10.8 GB file
32K 15.6 GB · 128K 28.3 GB
Qwen2.5 Coder 32B Instruct
11.9 GB11.3 GB file
32K 19.9 GB · 128K —
IQ3_XXS
Gemma 4 31B IT
13.7 GB11.8 GB file
32K 17.2 GB · 128K 29.9 GB
Qwen2.5 Coder 32B Instruct
13.5 GB12.8 GB file
32K 21.6 GB · 128K —
Q2_K_S
Gemma 4 31B IT
14.1 GB11.0 GB file
32K 17.6 GB · 128K 30.3 GB
Qwen2.5 Coder 32B Instruct
not listed
IQ3_XS
Gemma 4 31B IT
14.5 GB13.8 GB file
32K 18.0 GB · 128K 30.6 GB
Qwen2.5 Coder 32B Instruct
14.4 GB13.7 GB file
32K 22.4 GB · 128K —
IQ3_S
Gemma 4 31B IT
14.9 GB13.8 GB file
32K 18.4 GB · 128K 31.0 GB
Qwen2.5 Coder 32B Instruct
14.8 GB14.4 GB file
32K 22.8 GB · 128K —
IQ3_M
Gemma 4 31B IT
15.7 GB15.1 GB file
32K 19.1 GB · 128K 31.8 GB
Qwen2.5 Coder 32B Instruct
15.6 GB14.8 GB file
32K 23.6 GB · 128K —
Q3_K_L
Gemma 4 31B IT
17.7 GB16.8 GB file
32K 21.1 GB · 128K 33.8 GB
Qwen2.5 Coder 32B Instruct
17.6 GB17.2 GB file
32K 25.7 GB · 128K —
IQ4_XS
Gemma 4 31B IT
18.4 GB16.4 GB file
32K 21.9 GB · 128K 34.6 GB
Qwen2.5 Coder 32B Instruct
18.5 GB17.7 GB file
32K 26.5 GB · 128K —
IQ4_NL
Gemma 4 31B IT
19.2 GB17.3 GB file
32K 22.7 GB · 128K 35.3 GB
Qwen2.5 Coder 32B Instruct
19.3 GB18.7 GB file
32K 27.3 GB · 128K —
Q4_1
Gemma 4 31B IT
19.2 GB19.1 GB file
32K 22.7 GB · 128K 35.3 GB
Qwen2.5 Coder 32B Instruct
not listed
Q4_K_S
Gemma 4 31B IT
19.2 GB17.4 GB file
32K 22.7 GB · 128K 35.3 GB
Qwen2.5 Coder 32B Instruct
19.3 GB18.8 GB file
32K 27.3 GB · 128K —
Q4_K_L
Gemma 4 31B IT
20.8 GB19.9 GB file
32K 24.2 GB · 128K 36.9 GB
Qwen2.5 Coder 32B Instruct
20.9 GB20.4 GB file
32K 29.0 GB · 128K —
Q5_0
Gemma 4 31B IT
21.2 GB21.3 GB file
32K 24.6 GB · 128K 37.3 GB
Qwen2.5 Coder 32B Instruct
21.3 GB22.6 GB file
32K 29.4 GB · 128K —
Q5_K_S
Gemma 4 31B IT
23.1 GB21.1 GB file
32K 26.6 GB · 128K 39.2 GB
Qwen2.5 Coder 32B Instruct
23.4 GB22.6 GB file
32K 31.4 GB · 128K —
Q5_K_L
Gemma 4 31B IT
24.3 GB23.0 GB file
32K 27.7 GB · 128K 40.4 GB
Qwen2.5 Coder 32B Instruct
24.6 GB23.7 GB file
32K 32.6 GB · 128K —
BF16
Gemma 4 31B IT
64.2 GB61.4 GB file
32K 67.6 GB · 128K 80.3 GB
Qwen2.5 Coder 32B Instruct
66.4 GB~65.5 GB file
32K 74.4 GB · 128K —
Gemma 4 31B IT
Ollama · Q4_K_M
ollama run hf.co/unsloth/gemma-4-31B-it-GGUF:Q4_K_MQwen2.5 Coder 32B Instruct
Ollama · Q4_K_M
ollama run hf.co/Qwen/Qwen2.5-Coder-32B-Instruct-GGUF:Q4_K_M| Spec | Gemma 4 31B IT | Qwen2.5 Coder 32B Instruct |
|---|---|---|
| Publisher | Alibaba | |
| Parameters | 31.3B | 32.8B |
| Architecture | Gemma4ForConditionalGeneration | Qwen2ForCausalLM |
| Context | 256K tokens | 32K tokens |
| Modalities | Vision, Function-calling | Chat, Code, Function-calling |
| License | Apache 2.0 | Apache 2.0 |
| Released | Mar 2026 | Nov 2024 |
Frequently Asked Questions
Which is better, Gemma 4 31B IT or Qwen2.5 Coder 32B Instruct?
Gemma 4 31B IT leads llmrun Score 106.7 to 81.9; both fit 24 GB at Q4_K_M. Choose Gemma 4 31B IT for higher llmrun Score and fits a 16 GB GPU; choose Qwen2.5 Coder 32B Instruct for also does chat, code.
Which needs less VRAM, Gemma 4 31B IT or Qwen2.5 Coder 32B Instruct?
At Q4_K_M, Gemma 4 31B IT requires 20.4 GB while Qwen2.5 Coder 32B Instruct needs 20.5 GB, making Gemma 4 31B IT the easier model to run on your local setup.
Which is faster on RTX 4090?
Estimated decode speed on RTX 4090 is about 32 tok/s for Gemma 4 31B IT (Q4_K_M) and 32 tok/s for Qwen2.5 Coder 32B Instruct (Q4_K_M), so Gemma 4 31B IT is faster. Estimates, ±20%.
Can I run Gemma 4 31B IT or Qwen2.5 Coder 32B Instruct on a 16 GB GPU?
Gemma 4 31B IT fits at IQ3_XS; Qwen2.5 Coder 32B Instruct fits at IQ2_M.
Which has a longer context window, Gemma 4 31B IT or Qwen2.5 Coder 32B Instruct?
Gemma 4 31B IT supports 262,144 tokens and Qwen2.5 Coder 32B Instruct supports 32,768 tokens.