Back to LeaderboardCompare Hub
Model profile
Qwen

Qwen: Qwen-Max

Qwen: Qwen-Max is a budget-priced text-first model from Qwen with partial runtime data, standard context posture, and the clearest fit around long-context research.

Best for: Long-context researchN/A latencyStandard contextBudget pricing
Agentic models
Intelligence
N/A

Benchmark blend

Coding
N/A

Dev workflow signal

Context
33K Tokens

Standard

Input Price
$1.04

Budget tier

Decision snapshot
67

Qwen: Qwen-Max currently reads as a budget text-first option with standard context and a partially published runtime profile.

Overall profile
Selective fit
Best for
Long-context research
Latency tier
N/A
Price tier
Budget
Source coverage
OpenRouter
Open compare hubSee leaderboard

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
N/A
N/A

General reasoning and benchmark headroom.

Unavailable
Speed
N/A
N/A

Latency data is partial.

Unavailable
Context
33K Tokens
48

How much prompt and task state can stay in view.

Situational
Price
$1.04
86

$4.16 output / 1M

Efficient

Editorial Profile

Qwen: Qwen-Max in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Selective fitCoding score N/AMath score N/A

Qwen-Max, based on Qwen2.5, provides the best inference performance among [Qwen models](/qwen), especially for complex multi-step tasks. It's a large-scale MoE model that has been pretrained on over 20 trillion...

Identity

Qwen text-first profile

Positioning

Long-context research with standard context and partially published runtime.

Cost posture

Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.

Strengths

  • The available source data suggests a balanced profile rather than one dominant edge.

Tradeoffs

  • Budget-friendly input pricing is a strength, but raw capability may vary by workload.

  • Latency data is incomplete, so interactive responsiveness is harder to rank confidently.

  • Current metadata points to a text-first profile rather than a broad multimodal one.

  • Context window is more comfortable for focused tasks than extremely long sessions.

Best fit

  • Focused chat, retrieval-augmented flows, and narrower production tasks.

Explore Next

Similar profiles worth opening next

Qwen

Qwen: Qwen2.5 7B Instruct

Intelligence
N/A
Context
33K Tokens
Input Price
$0.04
Open profile
Qwen

Qwen: Qwen-Plus

Intelligence
N/A
Context
1000K Tokens
Input Price
$0.26
Open profile
Qwen

Qwen: Qwen Plus 0728

Intelligence
N/A
Context
1000K Tokens
Input Price
$0.26
Open profile

Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

No benchmark data is available for this model yet.

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
33K Tokens
Vision
Text-first
Modalities
text
Tokenizer
Qwen
Max Completion
8192
Moderation
No
Supported Parameters
max_tokenspresence_penaltyresponse_formatseedtemperaturetool_choicetoolstop_p
Input Modalities
text
Output Modalities
text
Price architecture
Input
per 1M input tokens
$1.04
Output
per 1M output tokens
$4.16
Blended
AA 3:1 mix
N/A

This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.

OR Cache Read
$0.00

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.