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Gemini 3.8 Flash vs Qwen3 Max Thinking

Gemini 3.8 Flash leads the LLM Stats Score 51.2 to 33.0. Gemini 3.8 Flash is 1.6x cheaper per token.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 51.2 to 33.0, ranking #12 overall.

In the 1 individual benchmarks reported for both models, Gemini 3.8 Flash wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Gemini 3.8 Flash is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.8 Flash 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 3.8 Flash

  • overall performance matters — it scores 51.2 and ranks #12 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 1.6x cheaper per token
  • 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 Max Thinking

  • you want predictable pricing at $1.20/M input and $6.00/M output

At a glance

The differences that matter most.

Gemini 3.8 Flash
Google
Qwen3 Max Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
51.2
#12
33.0
#101
Reasoning
47.5
#23
34.1
#90
Coding
39.3
#14
16.4
#124
Agents
36.1
#16
10.3
#115
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.75 / M
$1.20 / M
Output price
$3.75 / M
$6.00 / M
Context window
1,048,576
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 3.8 Flash
Qwen3 Max Thinking
Tool use
26.9#25
3.5#161
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 3.8 Flash · 34 for Qwen3 Max Thinking

1 shared

Gemini 3.8 Flash outperforms in 1 benchmarks (HLE-Verified), while Qwen3 Max Thinking is better at 0 benchmarks.

Gemini 3.8 Flash significantly outperforms across most benchmarks.

Wed Sep 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 3.8 Flash costs less

For input processing, Gemini 3.8 Flash ($0.75/1M tokens) is 1.6x cheaper than Qwen3 Max Thinking ($1.20/1M tokens).

For output processing, Gemini 3.8 Flash ($3.75/1M tokens) is 1.6x cheaper than Qwen3 Max Thinking ($6.00/1M tokens).

In conclusion, Qwen3 Max Thinking is more expensive than Gemini 3.8 Flash.*

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

Lowest available price from all providers
Wed Sep 09 2026 • llm-stats.com
Google
Gemini 3.8 Flash
Input tokens$0.75
Output tokens$3.75
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3 Max Thinking
Input tokens$1.20
Output tokens$6.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.8 Flash accepts 1,048,576 input tokens compared to Qwen3 Max Thinking's 256,000 tokens. Qwen3 Max Thinking can generate longer responses up to 256,000 tokens, while Gemini 3.8 Flash is limited to 65,536 tokens.

Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3 Max Thinking
Input256,000 tokens
Output256,000 tokens
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 3.8 Flash supports multimodal inputs, whereas Qwen3 Max Thinking does not.

Gemini 3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.8 Flash

Text
Images
Audio
Video

Qwen3 Max Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.8 Flash

Proprietary

Closed source

Qwen3 Max Thinking

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.8 Flash was released on 2026-09-02, while Qwen3 Max Thinking was released on 2026-02-13.

Gemini 3.8 Flash is 7 months newer than Qwen3 Max Thinking.

Gemini 3.8 Flash

Sep 2, 2026

1 weeks ago

6mo newer
Qwen3 Max Thinking

Feb 13, 2026

6 months ago

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while Qwen3 Max Thinking's cutoff date is not specified.

We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Qwen3 Max Thinking's cutoff date.

Gemini 3.8 Flash

Mar 2026

Qwen3 Max Thinking

—

Provider Availability

Gemini 3.8 Flash is available from Google. Qwen3 Max Thinking is available from DeepInfra.

Gemini 3.8 Flash

google logo
Google
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M

Qwen3 Max Thinking

deepinfra logo
Deepinfra
Input Price:Input: $1.20/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash and Qwen3 Max Thinking side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
Qwen3 Max Thinking
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs Qwen3 Max Thinking.

Which is better, Gemini 3.8 Flash or Qwen3 Max Thinking?

Gemini 3.8 Flash leads the LLM Stats Score 51.2 to 33.0. Gemini 3.8 Flash is made by Google and Qwen3 Max Thinking 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 3.8 Flash compare to Qwen3 Max Thinking in benchmarks?

Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%. Qwen3 Max Thinking scores C-Eval: 93.7%, IFEval: 93.4%, AIME 2026: 93.3%, MMLU-Redux: 92.8%, GPQA: 87.4%.

Is Gemini 3.8 Flash cheaper than Qwen3 Max Thinking?

Gemini 3.8 Flash is 1.6x cheaper for input tokens. Gemini 3.8 Flash costs $0.75/M input and $3.75/M output via google. Qwen3 Max Thinking costs $1.20/M input and $6.00/M output via deepinfra.

What are the context window sizes for Gemini 3.8 Flash and Qwen3 Max Thinking?

Gemini 3.8 Flash supports 1.0M tokens and Qwen3 Max Thinking supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.8 Flash and Qwen3 Max Thinking?

Key differences include LLM Stats Score (51.2 vs 33.0), context window (1.0M vs 256K), input pricing ($0.75 vs $1.20/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash and Qwen3 Max Thinking?

Gemini 3.8 Flash is developed by Google and Qwen3 Max Thinking is developed by Alibaba Cloud / Qwen Team.

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