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Gemini 4 Argon vs Qwen3.5-397B-A17B

Gemini 4 Argon leads the LLM Stats Score 55.1 to 38.3. Qwen3.5-397B-A17B is 3.7x cheaper per token.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 38.3, ranking #4 overall.

On price, Qwen3.5-397B-A17B is roughly 3.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 4 Argon also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 4 Argon

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3.5-397B-A17B

  • cost matters — it's about 3.7x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Qwen3.5-397B-A17B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
55.1
#4
38.3
#82
Reasoning
53.2
#6
38.2
#80
Coding
42.5
#7
22.8
#95
Agents
41.2
#4
19.8
#83
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
$0.45 / M
Output price
$10.00 / M
$3.00 / M
Context window
1,048,576
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 4 Argon
Qwen3.5-397B-A17B
Vision
37.2#8
18.0#96
Tool use
32.3#4
16.7#91
Long context
30.6#3
23.3#17
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 38 for Qwen3.5-397B-A17B

No common benchmarks found

Gemini 4 Argon and Qwen3.5-397B-A17Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3.5-397B-A17B costs less

For input processing, Gemini 4 Argon ($2.00/1M tokens) is 4.4x more expensive than Qwen3.5-397B-A17B ($0.45/1M tokens).

For output processing, Gemini 4 Argon ($10.00/1M tokens) is 3.3x more expensive than Qwen3.5-397B-A17B ($3.00/1M tokens).

In conclusion, Gemini 4 Argon is more expensive than Qwen3.5-397B-A17B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Oct 22 2026 • llm-stats.com
Google
Gemini 4 Argon
Input tokens$2.00
Output tokens$10.00
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.45
Output tokens$3.00
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Gemini 4 Argon accepts 1,048,576 input tokens compared to Qwen3.5-397B-A17B's 262,144 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while Qwen3.5-397B-A17B is limited to 262,144 tokens.

Google
Gemini 4 Argon
Input1,048,576 tokens
Output1,048,576 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output262,144 tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and Qwen3.5-397B-A17B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 4 Argon

Text
Images
Audio
Video

Qwen3.5-397B-A17B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while Qwen3.5-397B-A17B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 4 Argon

Proprietary

Closed source

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Qwen3.5-397B-A17B was released on 2026-02-16.

Gemini 4 Argon is 8 months newer than Qwen3.5-397B-A17B.

Gemini 4 Argon

Sep 30, 2026

2 weeks ago

7mo newer
Qwen3.5-397B-A17B

Feb 16, 2026

8 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Gemini 4 Argon is available from Google. Qwen3.5-397B-A17B is available from DeepInfra, Novita.

Gemini 4 Argon

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

Qwen3.5-397B-A17B

deepinfra logo
Deepinfra
Input Price:Input: $0.45/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and Qwen3.5-397B-A17B side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Qwen3.5-397B-A17B
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Qwen3.5-397B-A17B.

Which is better, Gemini 4 Argon or Qwen3.5-397B-A17B?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 38.3. Gemini 4 Argon is made by Google and Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 4 Argon compare to Qwen3.5-397B-A17B in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%.

Is Gemini 4 Argon cheaper than Qwen3.5-397B-A17B?

Qwen3.5-397B-A17B is 4.4x cheaper for input tokens. Gemini 4 Argon costs $2.00/M input and $10.00/M output via google. Qwen3.5-397B-A17B costs $0.45/M input and $3.00/M output via deepinfra.

What are the context window sizes for Gemini 4 Argon and Qwen3.5-397B-A17B?

Gemini 4 Argon supports 1.0M tokens and Qwen3.5-397B-A17B supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 4 Argon and Qwen3.5-397B-A17B?

Key differences include LLM Stats Score (55.1 vs 38.3), context window (1.0M vs 262K), input pricing ($2.00 vs $0.45/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Qwen3.5-397B-A17B?

Gemini 4 Argon is developed by Google and Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team.

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