llmrun

Gemma 2 9B IT vs Gemma 4 26B A4B IT

Gemma 4 26B A4B IT leads llmrun Score 105.8 to 68.0; both fit 24 GB at Q4_K_M; Gemma 4 26B A4B IT is 1.6× faster on RTX 4090 (~171 vs ~107 tok/s).

9.2B · 8K context · Gemma Terms · Jun 2024

Chat

25.8B · 4.4B active · 256K context · Apache 2.0 · Mar 2026

VisionFunctions

Which should you choose?

Choose Gemma 2 9B IT if you want…

  • Fits an 8 GB GPU

    Q4_K_M · 7.3 GB; Gemma 4 26B A4B IT needs 8.1 GB at its smallest quant

  • Lighter on memory

    6.1 vs 16.1 GB at Q4_K_M

  • Also does chat

    Gemma 4 26B A4B IT doesn't list it

Choose Gemma 4 26B A4B IT if you want…

  • Higher llmrun Score

    105.8 vs 68.0

  • 1.6× faster on RTX 4090

    ~171 vs ~107 tok/s

  • Longer context window

    256K vs 8K tokens

  • Also does vision, function-calling

    Gemma 2 9B IT doesn't list it

  • More permissive license

    Apache 2.0 vs Gemma Terms

  • Newer release

    Mar 2026 vs Jun 2024

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 9B IT

Q4_K_M · ~29 tok/s

7.3 GB · up to 8Kfits

Gemma 4 26B A4B IT

Doesn't fit

smallest quant needs 8.1 GB

12 GB

RTX 3060 12GB · 12 GB tier

Gemma 2 9B IT

Q4_K_M · ~38 tok/s

7.3 GB · up to 8Kmore headroom

Gemma 4 26B A4B IT

IQ3_S · ~99 tok/s

12 GB · up to 16K

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Gemma 2 9B IT

Q4_K_M · ~48 tok/s

7.3 GB · up to 8Kmore headroom

Gemma 4 26B A4B IT

Q4_1 · ~95 tok/s

15.5 GB · up to 16K

24 GBreference

RTX 4090 · 24 GB tier

Gemma 2 9B IT

Q4_K_M · ~107 tok/s

7.3 GB · up to 8K

Gemma 4 26B A4B IT

Q4_K_M · ~171 tok/s

16.5 GB · up to 128Kfaster

32 GB

RTX 5090 · 32 GB tier

Gemma 2 9B IT

Q4_K_M · ~191 tok/s

7.3 GB · up to 8K

Gemma 4 26B A4B IT

Q4_K_M · ~250 tok/s

16.5 GB · up to 256Kfaster

48 GB

RTX A6000 · 48 GB tier

Gemma 2 9B IT

Q4_K_M · ~82 tok/s

7.3 GB · up to 8K

Gemma 4 26B A4B IT

Q4_K_M · ~140 tok/s

16.5 GB · up to 256Kfaster

Mac 32 GB

Mac Mini M4 · Macs

Gemma 2 9B IT

Q4_K_M · ~14 tok/s

7.3 GB · up to 8K

Gemma 4 26B A4B IT

Q4_K_M · ~26 tok/s

16.5 GB · up to 256Kfaster

Mac 64 GB

Mac Studio M4 Max · Macs

Gemma 2 9B IT

Q4_K_M · ~63 tok/s

7.3 GB · up to 8K

Gemma 4 26B A4B IT

Q4_K_M · ~76 tok/s

16.5 GB · up to 256Kfaster

Mac 128 GB

Mac Studio M4 Max · Macs

Gemma 2 9B IT

Q4_K_M · ~63 tok/s

7.3 GB · up to 8K

Gemma 4 26B A4B IT

Q4_K_M · ~76 tok/s

16.5 GB · up to 256Kfaster

Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).

llmrun Score

with its 90% range · bars share one scale

Overall

Gemma 2 9B IT

68.060–76

Gemma 4 26B A4B IT

105.8102–110

Coding

Gemma 2 9B IT

no data

Gemma 4 26B A4B IT

103.695–112

Science

Gemma 2 9B IT

no data

Gemma 4 26B A4B IT

102.294–110

Reasoning

Gemma 2 9B IT

no data

Gemma 4 26B A4B IT

102.094–111

Gemma 2 9B IT · #99 of 106 open models · #30 of 36 that fit 24 GB

Gemma 4 26B A4B IT · #45 of 106 open models · #5 of 36 that fit 24 GB

Benchmarks

2 shared boards: Gemma 2 9B IT leads 0, Gemma 4 26B A4B IT leads 2 · Benchmarks imported Nov 2026

Gemma 2 9B IT

27.5%#88/100 open

IndependentEpoch AI · Jun 2024

Gemma 4 26B A4B IT

73.2%#32/100 open

IndependentEpoch AI · Apr 2026

Gemma 2 9B IT

0.6%#84/88 open

IndependentEpoch AI · Jun 2024

Gemma 4 26B A4B IT

82.2%#26/88 open

IndependentEpoch AI · Apr 2026

11 more boards (other shared and single-model boards)

Gemma 2 9B IT

1267.0#125/188 open

ArenaLMArena · Oct 2026

Gemma 4 26B A4B IT

1437.6#22/188 open

ArenaLMArena · Oct 2026

Only Gemma 2 9B IT (3)

Only Gemma 4 26B A4B IT (7)

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 9B IT

4.3 GB3.8 GB file

32K — · 128K —

Gemma 4 26B A4B IT

11.6 GB11.0 GB file

32K 12.5 GB · 128K 15.8 GB

Q3_K_S

Gemma 2 9B IT

4.5 GB4.3 GB file

32K — · 128K —

Gemma 4 26B A4B IT

11.9 GB12.6 GB file

32K 12.8 GB · 128K 16.2 GB

Q3_K_M

Gemma 2 9B IT

5.0 GB4.8 GB file

32K — · 128K —

Gemma 4 26B A4B IT

13.2 GB12.7 GB file

32K 14.1 GB · 128K 17.5 GB

Q4_0

Gemma 2 9B IT

5.1 GB5.4 GB file

32K — · 128K —

Gemma 4 26B A4B IT

13.6 GB14.5 GB file

32K 14.5 GB · 128K 17.8 GB

Q4_K_M

Gemma 2 9B IT

6.1 GB5.8 GB file

32K — · 128K —

Gemma 4 26B A4B IT

16.1 GB16.9 GB file

32K 17.0 GB · 128K 20.4 GB

Q5_K_M

Gemma 2 9B IT

7.2 GB6.6 GB file

32K — · 128K —

Gemma 4 26B A4B IT

19.0 GB21.2 GB file

32K 19.9 GB · 128K 23.3 GB

Q6_K

Gemma 2 9B IT

8.4 GB7.6 GB file

32K — · 128K —

Gemma 4 26B A4B IT

21.9 GB23.2 GB file

32K 22.8 GB · 128K 26.2 GB

Q8_0

Gemma 2 9B IT

10.2 GB9.8 GB file

32K — · 128K —

Gemma 4 26B A4B IT

26.5 GB26.9 GB file

32K 27.4 GB · 128K 30.7 GB

20 more quants

IQ2_XXS

Gemma 2 9B IT

2.8 GB2.8 GB file

32K — · 128K —

Gemma 4 26B A4B IT

7.7 GB9.9 GB file

32K 8.6 GB · 128K 12.0 GB

IQ2_XS

Gemma 2 9B IT

3.1 GB3.1 GB file

32K — · 128K —

Gemma 4 26B A4B IT

8.4 GB10.1 GB file

32K 9.3 GB · 128K 12.6 GB

IQ2_S

Gemma 2 9B IT

3.2 GB3.2 GB file

32K — · 128K —

Gemma 4 26B A4B IT

8.7 GB10.2 GB file

32K 9.6 GB · 128K 12.9 GB

IQ2_M

Gemma 2 9B IT

3.4 GB3.4 GB file

32K — · 128K —

Gemma 4 26B A4B IT

9.4 GB10.0 GB file

32K 10.3 GB · 128K 13.6 GB

IQ3_XXS

Gemma 2 9B IT

3.9 GB3.8 GB file

32K — · 128K —

Gemma 4 26B A4B IT

10.7 GB11.4 GB file

32K 11.6 GB · 128K 14.9 GB

Q2_K_S

Gemma 2 9B IT

not listed

Gemma 4 26B A4B IT

11.0 GB10.6 GB file

32K 11.9 GB · 128K 15.2 GB

IQ3_XS

Gemma 2 9B IT

4.2 GB4.1 GB file

32K — · 128K —

Gemma 4 26B A4B IT

11.3 GB12.4 GB file

32K 12.2 GB · 128K 15.5 GB

IQ3_S

Gemma 2 9B IT

4.3 GB4.3 GB file

32K — · 128K —

Gemma 4 26B A4B IT

11.6 GB11.3 GB file

32K 12.5 GB · 128K 15.8 GB

IQ3_M

Gemma 2 9B IT

4.6 GB4.5 GB file

32K — · 128K —

Gemma 4 26B A4B IT

12.3 GB13.3 GB file

32K 13.2 GB · 128K 16.5 GB

Q3_K_L

Gemma 2 9B IT

5.2 GB5.1 GB file

32K — · 128K —

Gemma 4 26B A4B IT

13.9 GB13.2 GB file

32K 14.8 GB · 128K 18.1 GB

IQ4_XS

Gemma 2 9B IT

5.5 GB5.2 GB file

32K — · 128K —

Gemma 4 26B A4B IT

14.5 GB13.6 GB file

32K 15.4 GB · 128K 18.7 GB

IQ4_NL

Gemma 2 9B IT

not listed

Gemma 4 26B A4B IT

15.2 GB13.6 GB file

32K 16.1 GB · 128K 19.4 GB

Q4_1

Gemma 2 9B IT

5.7 GB6.0 GB file

32K — · 128K —

Gemma 4 26B A4B IT

15.2 GB16.1 GB file

32K 16.1 GB · 128K 19.4 GB

Q4_K_S

Gemma 2 9B IT

5.7 GB5.5 GB file

32K — · 128K —

Gemma 4 26B A4B IT

15.2 GB16.5 GB file

32K 16.1 GB · 128K 19.4 GB

Q4_K_L

Gemma 2 9B IT

6.2 GB6.0 GB file

32K — · 128K —

Gemma 4 26B A4B IT

16.5 GB17.2 GB file

32K 17.4 GB · 128K 20.7 GB

Q5_0

Gemma 2 9B IT

6.4 GB6.5 GB file

32K — · 128K —

Gemma 4 26B A4B IT

16.8 GB17.5 GB file

32K 17.7 GB · 128K 21.0 GB

Q5_1

Gemma 2 9B IT

7.0 GB7.0 GB file

32K — · 128K —

Gemma 4 26B A4B IT

not listed

Q5_K_S

Gemma 2 9B IT

7.0 GB6.5 GB file

32K — · 128K —

Gemma 4 26B A4B IT

18.4 GB18.9 GB file

32K 19.3 GB · 128K 22.6 GB

Q5_K_L

Gemma 2 9B IT

7.4 GB6.9 GB file

32K — · 128K —

Gemma 4 26B A4B IT

19.4 GB19.5 GB file

32K 20.3 GB · 128K 23.6 GB

BF16

Gemma 2 9B IT

20.3 GB18.5 GB file

32K — · 128K —

Gemma 4 26B A4B IT

52.3 GB50.5 GB file

32K 53.2 GB · 128K 56.5 GB

How to run each

Specifications

Specifications of Gemma 2 9B IT and Gemma 4 26B A4B IT
SpecGemma 2 9B ITGemma 4 26B A4B IT
PublisherGoogleGoogle
Parameters9.2B25.8B
Active parameters—4.4B per token
Architecture—Gemma4ForConditionalGeneration
Context8K tokens256K tokens
ModalitiesChatVision, Function-calling
LicenseGemma TermsApache 2.0
ReleasedJun 2024Mar 2026

Frequently Asked Questions

Which is better, Gemma 2 9B IT or Gemma 4 26B A4B IT?

Gemma 4 26B A4B IT leads llmrun Score 105.8 to 68.0; both fit 24 GB at Q4_K_M; Gemma 4 26B A4B IT is 1.6× faster on RTX 4090 (~171 vs ~107 tok/s). Choose Gemma 2 9B IT for fits an 8 GB GPU and lighter on memory; choose Gemma 4 26B A4B IT for higher llmrun Score and 1.6× faster on RTX 4090.

Which needs less VRAM, Gemma 2 9B IT or Gemma 4 26B A4B IT?

At Q4_K_M, Gemma 2 9B IT requires 6.1 GB while Gemma 4 26B A4B IT needs 16.1 GB, making Gemma 2 9B IT the easier model to run on your local setup.

Which is faster on RTX 4090?

Estimated decode speed on RTX 4090 is about 107 tok/s for Gemma 2 9B IT (Q4_K_M) and 171 tok/s for Gemma 4 26B A4B IT (Q4_K_M), so Gemma 4 26B A4B IT is faster. Estimates, ±20%.

Can I run Gemma 2 9B IT or Gemma 4 26B A4B IT on a 16 GB GPU?

Gemma 2 9B IT fits at Q4_K_M; Gemma 4 26B A4B IT fits at Q4_1.

Which has a longer context window, Gemma 2 9B IT or Gemma 4 26B A4B IT?

Gemma 2 9B IT supports 8,192 tokens and Gemma 4 26B A4B IT supports 262,144 tokens.

Gemma 2 9B IT vs Gemma 4 26B A4B IT — VRAM & GPU Comparison | llmrun