llmrun

Mistral Medium 3.5 128B vs Qwen3.5 122B A10B

Qwen3.5 122B A10B leads llmrun Score 109.4 to 102.1 (ranges overlap); neither fits 24 GB.

Run Qwen3.5 122B A10B in the cloud →

Model A · Mistral AI

Mistral Medium 3.5 128B
102.1llmrun Score

127.7B · 256K context · Other · Mar 2026

ChatFunctions

Model B · Alibaba

Qwen3.5 122B A10B
109.4llmrun Score

125.1B · 12.7B active · 256K context · Apache 2.0 · Feb 2026

VisionFunctions

Which should you choose?

Choose Mistral Medium 3.5 128B if you want…

  • Also does chat

    Qwen3.5 122B A10B doesn't list it

Choose Qwen3.5 122B A10B if you want…

  • Higher llmrun Score

    109.4 vs 102.1, ranges overlap

  • Stronger at reasoning

    112.3 vs 101.5

  • Ahead on the benchmarks

    3 of 4 shared boards

  • Also does vision

    Mistral Medium 3.5 128B doesn't list it

  • More permissive license

    Apache 2.0 vs Other

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 Medium 3.5 128B

Doesn't fit

smallest quant needs 41.3 GB

Qwen3.5 122B A10B

Doesn't fit

smallest quant needs 34.9 GB

12 GB

RTX 3060 12GB · 12 GB tier

Mistral Medium 3.5 128B

Doesn't fit

smallest quant needs 41.3 GB

Qwen3.5 122B A10B

Doesn't fit

smallest quant needs 34.9 GB

16 GB

RTX 5060 Ti 16GB · 16 GB tier

Mistral Medium 3.5 128B

Doesn't fit

smallest quant needs 41.3 GB

Qwen3.5 122B A10B

Doesn't fit

smallest quant needs 34.9 GB

24 GBreference

RTX 4090 · 24 GB tier

Mistral Medium 3.5 128B

Doesn't fit

smallest quant needs 41.3 GB

Qwen3.5 122B A10B

Doesn't fit

smallest quant needs 34.9 GB

32 GB

RTX 5090 · 32 GB tier

Mistral Medium 3.5 128B

Doesn't fit

smallest quant needs 41.3 GB

Qwen3.5 122B A10B

Doesn't fit

smallest quant needs 34.9 GB

48 GB

RTX A6000 · 48 GB tier

Mistral Medium 3.5 128B

IQ2_S · ~12 tok/s

46.1 GB · up to 16K

Qwen3.5 122B A10B

IQ2_M · ~88 tok/s

42.7 GB · up to 256K

Mac 32 GB

Mac Mini M4 · Macs

Mistral Medium 3.5 128B

Doesn't fit

smallest quant needs 41.3 GB

Qwen3.5 122B A10B

Doesn't fit

smallest quant needs 34.9 GB

Mac 64 GB

Mac Studio M4 Max · Macs

Mistral Medium 3.5 128B

IQ3_S · ~7 tok/s

60.5 GB · up to 16K

Qwen3.5 122B A10B

IQ3_M · ~41 tok/s

56.7 GB · up to 256K

Mac 128 GB

Mac Studio M4 Max · Macs

Mistral Medium 3.5 128B

Q4_K_M · ~5 tok/s

82.8 GB · up to 128K

Qwen3.5 122B A10B

Q4_K_M · ~34 tok/s

75.5 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

Mistral Medium 3.5 128B

102.197–107

Qwen3.5 122B A10B

109.4102–117

Coding

Mistral Medium 3.5 128B

102.296–108

Qwen3.5 122B A10B

no data

Science

Mistral Medium 3.5 128B

101.380–123

Qwen3.5 122B A10B

96.174–119

Reasoning

Mistral Medium 3.5 128B

101.593–110

Qwen3.5 122B A10B

112.3104–121

Mistral Medium 3.5 128B · #53 of 106 open models · #20 of 62 that fit ≤96 GB

Qwen3.5 122B A10B · #33 of 106 open models · #8 of 62 that fit ≤96 GB

Benchmarks

4 shared boards: Mistral Medium 3.5 128B leads 1, Qwen3.5 122B A10B leads 3 · Benchmarks imported Nov 2026

SciCode

Mistral Medium 3.5 128B

40.2%#36/72 open

Lab-reportedEpoch AI · Apr 2026

Qwen3.5 122B A10B

35.6%#53/72 open

Lab-reportedEpoch AI · Feb 2026

CritPt

Mistral Medium 3.5 128B

0.0%#73/84 open

Lab-reportedEpoch AI · Apr 2026

Qwen3.5 122B A10B

0.9%#41/84 open

Lab-reportedEpoch AI · Feb 2026

DTBench

Mistral Medium 3.5 128B

75.5%#30/70 open

Lab-reportedEpoch AI · Apr 2026

Qwen3.5 122B A10B

84.3%#18/70 open

Lab-reportedEpoch AI · Feb 2026

LMCA

Mistral Medium 3.5 128B

26.1%#28/56 open

Lab-reportedEpoch AI · Apr 2026

Qwen3.5 122B A10B

32.2%#19/56 open

Lab-reportedEpoch AI · Feb 2026

9 more boards (other shared and single-model boards)
LMArena Text

Mistral Medium 3.5 128B

1426.4#28/188 open

ArenaLMArena · Oct 2026

Qwen3.5 122B A10B

1416.5#38/188 open

ArenaLMArena · Oct 2026

LMArena WebDev

Mistral Medium 3.5 128B

1264.0#50/55 open

ArenaLMArena · Oct 2026

Qwen3.5 122B A10B

1360.4#37/55 open

ArenaLMArena · Oct 2026

Only Mistral Medium 3.5 128B (5)

Only Qwen3.5 122B A10B (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 Medium 3.5 128B

55.3 GB46.6 GB file

32K 66.4 GB · 128K 102 GB

Qwen3.5 122B A10B

53.5 GB44.6 GB file

32K 53.8 GB · 128K 54.7 GB

Q3_K_S

Mistral Medium 3.5 128B

56.9 GB54.4 GB file

32K 68.0 GB · 128K 103 GB

Qwen3.5 122B A10B

55.1 GB52.5 GB file

32K 55.3 GB · 128K 56.2 GB

Q3_K_M

Mistral Medium 3.5 128B

63.3 GB60.6 GB file

32K 74.4 GB · 128K 110 GB

Qwen3.5 122B A10B

61.4 GB56.4 GB file

32K 61.6 GB · 128K 62.5 GB

Q4_0

Mistral Medium 3.5 128B

64.9 GB71.0 GB file

32K 76.0 GB · 128K 111 GB

Qwen3.5 122B A10B

62.9 GB72.5 GB file

32K 63.2 GB · 128K 64.1 GB

Q4_K_M

Mistral Medium 3.5 128B

77.7 GB74.9 GB file

32K 88.7 GB · 128K 124 GB

Qwen3.5 122B A10B

75.4 GB76.5 GB file

32K 75.7 GB · 128K 76.6 GB

Q5_K_M

Mistral Medium 3.5 128B

92.0 GB88.3 GB file

32K 103 GB · 128K 139 GB

Qwen3.5 122B A10B

89.5 GB91.5 GB file

32K 89.7 GB · 128K 90.6 GB

Q6_K

Mistral Medium 3.5 128B

106 GB102.6 GB file

32K 117 GB · 128K 153 GB

Qwen3.5 122B A10B

104 GB101.0 GB file

32K 104 GB · 128K 105 GB

Q8_0

Mistral Medium 3.5 128B

129 GB132.9 GB file

32K 140 GB · 128K 175 GB

Qwen3.5 122B A10B

125 GB129.9 GB file

32K 126 GB · 128K 127 GB

18 more quants

IQ2_XXS

Mistral Medium 3.5 128B

36.2 GB34.9 GB file

32K 47.2 GB · 128K 82.7 GB

Qwen3.5 122B A10B

34.8 GB36.6 GB file

32K 35.0 GB · 128K 35.9 GB

IQ2_XS

Mistral Medium 3.5 128B

39.4 GB43.4 GB file

32K 50.4 GB · 128K 85.9 GB

Qwen3.5 122B A10B

37.9 GB40.0 GB file

32K 38.1 GB · 128K 39.0 GB

IQ2_S

Mistral Medium 3.5 128B

41.0 GB46.1 GB file

32K 52.0 GB · 128K 87.5 GB

Qwen3.5 122B A10B

39.5 GB40.6 GB file

32K 39.7 GB · 128K 40.6 GB

IQ2_M

Mistral Medium 3.5 128B

44.1 GB44.1 GB file

32K 55.2 GB · 128K 90.7 GB

Qwen3.5 122B A10B

42.6 GB39.1 GB file

32K 42.8 GB · 128K 43.7 GB

IQ3_XXS

Mistral Medium 3.5 128B

50.5 GB49.3 GB file

32K 61.6 GB · 128K 97.0 GB

Qwen3.5 122B A10B

48.9 GB44.7 GB file

32K 49.1 GB · 128K 50.0 GB

Q2_K_S

Mistral Medium 3.5 128B

52.1 GB43.0 GB file

32K 63.2 GB · 128K 98.6 GB

Qwen3.5 122B A10B

50.4 GB41.7 GB file

32K 50.6 GB · 128K 51.5 GB

IQ3_XS

Mistral Medium 3.5 128B

53.7 GB54.9 GB file

32K 64.8 GB · 128K 100 GB

Qwen3.5 122B A10B

52.0 GB59.2 GB file

32K 52.2 GB · 128K 53.1 GB

IQ3_S

Mistral Medium 3.5 128B

55.3 GB54.5 GB file

32K 66.4 GB · 128K 102 GB

Qwen3.5 122B A10B

53.5 GB46.6 GB file

32K 53.8 GB · 128K 54.7 GB

IQ3_M

Mistral Medium 3.5 128B

58.5 GB59.5 GB file

32K 69.6 GB · 128K 105 GB

Qwen3.5 122B A10B

56.7 GB61.6 GB file

32K 56.9 GB · 128K 57.8 GB

Q3_K_L

Mistral Medium 3.5 128B

66.5 GB67.0 GB file

32K 77.6 GB · 128K 113 GB

Qwen3.5 122B A10B

64.5 GB63.2 GB file

32K 64.7 GB · 128K 65.6 GB

IQ4_XS

Mistral Medium 3.5 128B

69.7 GB67.1 GB file

32K 80.8 GB · 128K 116 GB

Qwen3.5 122B A10B

67.6 GB60.2 GB file

32K 67.8 GB · 128K 68.7 GB

IQ4_NL

Mistral Medium 3.5 128B

72.9 GB70.9 GB file

32K 83.9 GB · 128K 119 GB

Qwen3.5 122B A10B

70.7 GB61.4 GB file

32K 71.0 GB · 128K 71.9 GB

Q4_1

Mistral Medium 3.5 128B

72.9 GB78.5 GB file

32K 83.9 GB · 128K 119 GB

Qwen3.5 122B A10B

70.7 GB79.7 GB file

32K 71.0 GB · 128K 71.9 GB

Q4_K_S

Mistral Medium 3.5 128B

72.9 GB71.2 GB file

32K 83.9 GB · 128K 119 GB

Qwen3.5 122B A10B

70.7 GB71.7 GB file

32K 71.0 GB · 128K 71.9 GB

Q4_K_L

Mistral Medium 3.5 128B

79.3 GB79.6 GB file

32K 90.3 GB · 128K 126 GB

Qwen3.5 122B A10B

77.0 GB78.2 GB file

32K 77.2 GB · 128K 78.1 GB

Q5_K_S

Mistral Medium 3.5 128B

88.8 GB86.2 GB file

32K 99.9 GB · 128K 135 GB

Qwen3.5 122B A10B

86.4 GB86.4 GB file

32K 86.6 GB · 128K 87.5 GB

Q5_K_L

Mistral Medium 3.5 128B

93.6 GB92.1 GB file

32K 105 GB · 128K 140 GB

Qwen3.5 122B A10B

91.1 GB90.9 GB file

32K 91.3 GB · 128K 92.2 GB

BF16

Mistral Medium 3.5 128B

256 GB250.1 GB file

32K 268 GB · 128K 303 GB

Qwen3.5 122B A10B

251 GB244.3 GB file

32K 251 GB · 128K 252 GB

How to run each

Specifications

Specifications of Mistral Medium 3.5 128B and Qwen3.5 122B A10B
SpecMistral Medium 3.5 128BQwen3.5 122B A10B
PublisherMistral AIAlibaba
Parameters127.7B125.1B
Active parameters—13B per token
ArchitectureMistral3ForConditionalGenerationQwen3_5MoeForConditionalGeneration
Context256K tokens256K tokens
ModalitiesChat, Function-callingVision, Function-calling
LicenseOtherApache 2.0
ReleasedMar 2026Feb 2026

Frequently Asked Questions

Which is better, Mistral Medium 3.5 128B or Qwen3.5 122B A10B?

Qwen3.5 122B A10B leads llmrun Score 109.4 to 102.1 (ranges overlap); neither fits 24 GB. Choose Mistral Medium 3.5 128B for also does chat; choose Qwen3.5 122B A10B for higher llmrun Score and stronger at reasoning.

Which needs less VRAM, Mistral Medium 3.5 128B or Qwen3.5 122B A10B?

At Q4_K_M, Mistral Medium 3.5 128B requires 77.7 GB while Qwen3.5 122B A10B needs 75.4 GB, making Qwen3.5 122B A10B the easier model to run on your local setup.

Can I run Mistral Medium 3.5 128B or Qwen3.5 122B A10B on a 16 GB GPU?

Mistral Medium 3.5 128B does not fit (smallest quant needs 41.3 GB); Qwen3.5 122B A10B does not fit (smallest quant needs 34.9 GB).

Which has a longer context window, Mistral Medium 3.5 128B or Qwen3.5 122B A10B?

Mistral Medium 3.5 128B supports 262,144 tokens and Qwen3.5 122B A10B supports 262,144 tokens.

Mistral Medium 3.5 128B vs Qwen3.5 122B A10B — VRAM & GPU Comparison | llmrun