AI Models · Open-Source vs Open-Source

Qwen3.8 Max (0902) Open vs Mistral Medium 3.5 Open

Qwen3.8 Max (0902) vs Mistral Medium 3.5 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Qwen3.8 Max (0902)OpenAlibaba

$2 /M input
$6 /M outputNo per-token fees if you self-host

TypeOpen-weight

Context window1M tokens

MultimodalYes

Self-hostYes

Mistral Medium 3.5OpenMistral AI

$1.5 /M input
$7.5 /M outputNo per-token fees if you self-host

TypeOpen-weight

Context window262K tokens

MultimodalYes

Self-hostYes

Choose Qwen3.8 Max (0902) for the lower output price ($6/M vs $7.5/M). It also gives you the larger 1M context window.

Qwen3.8 Max (0902) vs Mistral Medium 3.5 specs

Spec	Qwen3.8 Max (0902)	Mistral Medium 3.5	Winner
Maker	Alibaba	Mistral AI	–
Type	Open-weight	Open-weight	–
Context window	1M tokens	262K tokens	Qwen3.8 Max (0902)
Input price	$2/M · free self-host	$1.5/M · free self-host	Mistral Medium 3.5
Output price	$6/M · free self-host	$7.5/M · free self-host	Qwen3.8 Max (0902)
Vision / multimodal	Yes	Yes	= Tie
Tool / function calling	Yes	Yes	= Tie
Self-hostable	Yes	Yes	= Tie
License	Apache 2.0	Apache 2.0	–

Price gap & when to choose each

Choose Qwen3.8 Max (0902) if…

You want to self-host or run on your cloud
You need the longer 1M context window
You prioritize data privacy & control
You want the lowest operating costs
You are building open or reproducible AI

Choose Mistral Medium 3.5 if…

You want to self-host or run on your cloud
You prioritize data privacy & control
You are building open or reproducible AI

Feature comparison

Capability	Qwen3.8 Max (0902)	Mistral Medium 3.5
Open weights (downloadable)	✓	✓
Self-hostable	✓	✓
Runs fully offline	✓	✓
Vision / multimodal	✓	✓
Tool / function calling	✓	✓
1M+ context window	✓	✗

Benchmarks: Qwen3.8 Max (0902) vs Mistral Medium 3.5

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Qwen3.8 Max (0902) delivers 3.2× more intelligence per dollar.

Qwen3.8 Max (0902)

Mistral Medium 3.5

Intelligence index

45.4

14.2

Coding index

76.2

46.9

GPQA

92.8%

74.8%

Humanity's Last Exam

43.1%

13.8%

Long Context Reasoning

80.3%

69.3%

SciCode

52.1%

40.2%

τ-Bench Banking

47.8%

15.1%

Terminal-Bench

88.8%

50.6%

IFBench

–

68.8%

τ²-Bench

–

94.2%

Terminal-Bench Hard

–

33.3%

Speed

35.8 tok/s

159.5 tok/s

Latency

1.84s

0.59s

Intelligence per $

15.1

4.7

Benchmark data by Artificial Analysis.

How Qwen3.8 Max (0902) and Mistral Medium 3.5 score

🤝 Neck and neck on these criteria (4.8 vs 4.6 / 5).

Criterion	Qwen3.8 Max (0902)	Mistral Medium 3.5
Cost-efficiency	4.0	4.0
Context window	5.0	4.0
Openness	5.0	5.0
Self-hosting	5.0	5.0
Multimodality	5.0	5.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Qwen3.8 Max (0902) Open

Alibaba · Open-weight

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...

Mistral Medium 3.5 Open

Mistral AI · Open-weight

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked

Qwen3.8 2.4T A95BQwen3.8 27BQwen3.7 MaxQwen3.6 PlusQwen3.7 PlusQwen3.5-27BQwen3.6 27BQwen3.5-35B-A3BQwen3.5 397B A17BQwen3.6 35B A3BQwen3.5-122B-A10BQwen3 235B A22B Thinking 2507Qwen3 235B A22B Instruct 2507Qwen3 Coder 480B A35BQwen3 Next 80B A3B ThinkingQwen3.5-9BQwen3 VL 235B A22B InstructQwen3 Next 80B A3B InstructQwen3 Coder 30B A3B InstructQwen3 VL 30B A3B ThinkingQwen3 Coder NextQwen3 32BQwen3 14BQwen3 VL 30B A3B InstructQwen2.5 72B InstructQwen3 30B A3BQwen3 30B A3B Instruct 2507Qwen3 VL 8B InstructQwen2.5 Coder 32B InstructQwen3.8 Max PrimeQwen3.5 Plus 2026-04-20Qwen3.5 Plus 2026-02-15Qwen3.6 FlashQwen2.5 VL 72B InstructQwen3 Coder FlashQwen-PlusQwen3.8 FlashQwen3.8 Omni FlashQwen3.5-FlashQwen2.5 7B InstructQwen3.7 Flash

Other variants tracked

Mistral Large 4Mistral Medium 3.5 (batch)Mistral Small 4Mistral Small 4 (batch)Mistral Large 3 2512Mistral Large 3 2512 (batch)Mistral Medium 3.1Mistral Medium 3.1 (batch)Mistral Medium 3Devstral 2 2512Mistral Small 3.2 24BMistral Small 3.1 24BMistral LargeMistral Large 2407Mistral Small 3SabaMinistral 3 14B 2512Mixtral 8x22B InstructMinistral 3 8B 2512Ministral 3 8B 2512 (batch)Ministral 3 3B 2512UncensoredCodestral 2508Codestral 2508 (batch)Voxtral Small 24B 2507Mistral Nemo

Frequently asked questions

Qwen3.8 Max (0902) vs Mistral Medium 3.5 — which is cheaper?

Qwen3.8 Max (0902) is cheaper on output ($6/M vs $7.5/M).

Which has the larger context window?

Qwen3.8 Max (0902) offers the larger context window (1M tokens).

Qwen3.8 Max (0902) vs Mistral Medium 3.5 — which should I pick in 2026?

Choose Qwen3.8 Max (0902) for the lower output price ($6/M vs $7.5/M). It also gives you the larger 1M context window.

People also compare

DeepSeek V4.1 Flash vs Mistral Medium 3.5 GLM 5.3 vs Mistral Medium 3.5 MiMo-V2.6-Pro vs Mistral Medium 3.5 Hy3 vs Mistral Medium 3.5 Nemotron 3 Ultra vs Mistral Medium 3.5 Kimi K3 vs Mistral Medium 3.5

Explore more open-source AI

Browse the full open-source model leaderboard, thousands of tools and live benchmarks — all in one place.

Open the leaderboard →