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Claude Opus 4.6 vs Qwen3 Max

AnthropicQwenboth via one key, provider price + 3%

These two sit at opposite ends of the price-performance curve. Opus 4.6 is Anthropic's coding and agent-focused model, released February 2026 with a 1M token context window. Qwen3 Max is Qwen's September 2025 release built for reasoning and multilingual coverage at a fraction of the cost. Both are available on OpenKey with one API key and a flat 3% fee over provider list price, so switching between them is a model-string change, not a new integration.

Spec vs spec

SpecClaude Opus 4.6Qwen3 Max
Context window1M262K
Max output128K33K
Input modalitiestext, image, filetext
Output modalitiestexttext
Knowledge cutoffJun 30, 2025
ReleasedFeb 4, 2026Sep 23, 2025
Reasoningoptionaloptional

Pricing

Per 1M tokens. Provider price plus the flat 3% fee — the sum is what you pay.

openkey.ai

anthropic/claude-opus-4.6

Input · 1M tokens

$5.00 + 3%$5.15

Output · 1M tokens

$25.00 + 3%$25.75

Cache read · 1M tokens

$0.500 + 3%$0.515

Cache write · 1M tokens

$6.25 + 3%$6.44

FEE — FLAT, EVERY MODEL3%

openkey.ai

qwen/qwen3-max

Input · 1M tokens

$0.780 + 3%$0.803

Output · 1M tokens

$3.90 + 3%$4.02

Cache read · 1M tokens

$0.156 + 3%$0.161

Cache write · 1M tokens

$0.975 + 3%$1.00

FEE — FLAT, EVERY MODEL3%

One workload, priced on both

10M input + 2M output tokens at each model's price, flat 3% fee included.

anthropic/claude-opus-4.6

$103.00

$100.00 provider + 3%

qwen/qwen3-maxCheaper

$16.07

$15.60 provider + 3%

Benchmarks

Design Arena categories where both models have results. Higher Elo and lower rank win.

Claude Opus 4.6Qwen3 Max
CategoryEloRankEloRank
3D1351#41150#62
ASCII art1307#61175#32
Code1342#31159#66
Data viz1322#51149#64
Game dev1344#41160#62
SVG1288#41069#60
UI components1350#31132#67
Websites1338#31161#66

Head-to-head preference voting. How we filter and rank

Pricing math on a real workload

On OpenKey, Opus 4.6 runs at $5.15/M input and $25.75/M output tokens (provider price $5.00/$25.00 x 1.03). Qwen3 Max runs at $0.8034/M input and $4.017/M output ($0.78/$3.90 x 1.03). For a 10M input / 2M output token workload: Opus 4.6 costs $100.00, Qwen3 Max costs $15.60 — a 6.41x gap on the input side alone. If your workload is mostly high-volume, low-complexity text generation, that gap compounds fast. If it's a handful of expensive agent runs where correctness matters more than volume, the delta matters less than the benchmark gap below.

Coding and agent benchmarks

Design Arena tells a one-sided story. Opus 4.6 ranks 3rd in codecategories (elo 1342), 3rd in uicomponent (elo 1350), 3rd in website (elo 1338), and 4th in fullstack agents (elo 1288, 68.6% win rate). Qwen3 Max ranks 66th in codecategories (elo 1159), 67th in uicomponent (elo 1132), and 66th in website (elo 1161), with no agent-category scores at all. Win rates track the same pattern: Opus 4.6 clears 60-69% across every category it's scored in, Qwen3 Max sits in the 37-47% range. For anything touching code generation, UI work, or agentic app-building, this isn't close.

Context and long-document work

Opus 4.6 supports 1,000,000 tokens of context with 128,000 max output tokens. Qwen3 Max supports 262,144 tokens of context with 32,768 max output — a 3.81x context ratio in Opus 4.6's favor. If you're feeding in large codebases, long transcripts, or multi-document research bundles, Opus 4.6 has more headroom before you need chunking or retrieval tricks. Qwen3 Max's window is still large enough for most single-document tasks, just not for the biggest agent-context workloads Opus 4.6 targets.

Modality and parameter differences

Opus 4.6 accepts text, image, and file input and supports reasoning effort levels (low, medium, high, max — default medium), plus verbosity and tool_choice controls. Qwen3 Max is text-to-text only, with no reasoning mode listed, but supports logprobs and seed for reproducibility, which Opus 4.6 doesn't expose. If your pipeline needs image or file input, or explicit reasoning-effort tuning, Opus 4.6 is the only option of the two. If you need deterministic sampling via seed, Qwen3 Max has that and Opus 4.6 doesn't.

Which model for which job

Use casePickWhy
Agentic coding (full-stack apps)Claude Opus 4.6Ranks 4th in fullstack agents (elo 1288, 68.6% win rate) vs no agent score for Qwen3 Max
High-volume text generation on a budgetQwen3 Max$15.60 vs $100.00 for a 10M-in/2M-out workload
Long-document or large-codebase analysisClaude Opus 4.61M token context vs 262,144 — 3.81x more headroom
UI component generationClaude Opus 4.6Rank 3 (elo 1350) vs rank 67 (elo 1132) on Design Arena
Image or file input in the promptClaude Opus 4.6Qwen3 Max is text-only input; Opus 4.6 accepts text, image, and file
Reproducible outputs via fixed seedQwen3 MaxSupports the seed parameter; Opus 4.6's parameter list doesn't include it

Questions

How much more expensive is Claude Opus 4.6 than Qwen3 Max?
On input tokens, Opus 4.6 is 6.41x the price ($5.15/M vs $0.8034/M on OpenKey). On a 10M input / 2M output token workload, Opus 4.6 costs $100.00 total versus $15.60 for Qwen3 Max.
Which model has the bigger context window?
Claude Opus 4.6 supports 1,000,000 tokens versus Qwen3 Max's 262,144 tokens — a 3.81x ratio. Opus 4.6 also allows larger outputs, 128,000 tokens versus 32,768 for Qwen3 Max.
Is Qwen3 Max competitive with Opus 4.6 on coding?
No. On Design Arena's codecategories benchmark, Opus 4.6 ranks 3rd (elo 1342, 63.9% win rate) while Qwen3 Max ranks 66th (elo 1159, 44% win rate). The gap holds across every scored category.
Can I use both models through the same API key?
Yes. Both Claude Opus 4.6 and Qwen3 Max are available on OpenKey under one API key, billed at provider list price plus a flat 3% fee — no separate accounts or integrations needed.

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