Claude Sonnet 5 vs Qwen3 Max
Claude Sonnet 5 (Anthropic, released 2026-06-30) and Qwen3 Max (Qwen, released 2025-09-23) sit at opposite ends of the price-to-capability curve. Sonnet 5 adds image and file input, a 1M-token context window, and adjustable reasoning depth; Qwen3 Max is text-only with a 262,144-token window but costs a fraction as much per token. Both are available on OpenKey with the same key and a flat 3% fee over provider list price, so the real decision is capability versus cost, not access.
Spec vs spec
| Spec | Claude Sonnet 5 | Qwen3 Max |
|---|---|---|
| Context window | 1M | 262K |
| Max output | 128K | 33K |
| Input modalities | text, image, file | text |
| Output modalities | text | text |
| Knowledge cutoff | — | Jun 30, 2025 |
| Released | Jun 30, 2026 | Sep 23, 2025 |
| Reasoning | optional | optional |
Pricing
Per 1M tokens. Provider price plus the flat 3% fee — the sum is what you pay.
anthropic/claude-sonnet-5
Input · 1M tokens
$2.00 + 3%$2.06
Output · 1M tokens
$10.00 + 3%$10.30
Cache read · 1M tokens
$0.200 + 3%$0.206
Cache write · 1M tokens
$2.50 + 3%$2.58
FEE — FLAT, EVERY MODEL3%
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-sonnet-5
$41.20
$40.00 provider + 3%
qwen/qwen3-maxCheaper
$16.07
$15.60 provider + 3%
Pricing math on a real workload
Provider list price for Claude Sonnet 5 is $2.00/M input and $10.00/M output; on OpenKey that's $2.00 x 1.03 = $2.06/M input and $10.00 x 1.03 = $10.30/M output. Qwen3 Max lists at $0.78/M input and $3.90/M output, which becomes $0.78 x 1.03 = $0.8034/M input and $3.90 x 1.03 = $4.017/M output on OpenKey.
Run 10M input tokens and 2M output tokens through each: Sonnet 5 costs $40.00, Qwen3 Max costs $15.60. That's a 2.56x gap on input price alone, and it compounds fast if you're running batch jobs or agent loops that chew through tokens. If your task doesn't need Sonnet 5's extra capability, the savings are real money, not rounding error.
Coding and agent performance
On Artificial Analysis benchmarks, Claude Sonnet 5 scores 71.5 on the coding index and 46.7 on the agentic index, with an overall intelligence index of 53.4. Qwen3 Max doesn't have Artificial Analysis scores in this dataset, but it does have Design Arena rankings across eight categories — its best result is asciiart at rank 32 (elo 1175, 43.5-47.2% win rates depending on category), with most categories landing in the rank 60-67 range (codecategories, dataviz, gamedev, website, uicomponent, svg). For coding-heavy agent work specifically, Sonnet 5's benchmark profile is the stronger signal here.
Context and modality
Sonnet 5 handles 1,000,000 tokens of context against Qwen3 Max's 262,144 — a 3.81x ratio. That matters for large codebases, long transcripts, or multi-document retrieval where you want the whole thing in one call instead of chunking. Sonnet 5 also accepts image and file inputs alongside text; Qwen3 Max is text-in, text-out only. Max output differs too: Sonnet 5 can generate up to 128,000 tokens per response, Qwen3 Max caps at 32,768. If your workload involves multimodal inputs or needs long single-shot outputs, Sonnet 5 is the only option of the two.
When to pick each
Pick Claude Sonnet 5 when you need image/file understanding, context beyond 262K tokens, long generated outputs, or the strongest coding/agentic scores available in this pair. Pick Qwen3 Max when the task is text-only, doesn't need frontier reasoning, and you're optimizing for cost per token — at 2.56x cheaper input pricing it's the default for high-volume pipelines, chat backends, or anything where Sonnet 5's extra capability goes unused.
Which model for which job
| Use case | Pick | Why |
|---|---|---|
| Coding agents / autonomous tool use | Claude Sonnet 5 | Scores 71.5 coding index and 46.7 agentic index on Artificial Analysis |
| High-volume text generation on a budget | Qwen3 Max | $15.60 vs $40.00 for the same 10M-in/2M-out workload |
| Long document or codebase analysis | Claude Sonnet 5 | 1,000,000-token context vs 262,144 (3.81x more room) |
| Image or file input tasks | Claude Sonnet 5 | Qwen3 Max is text-only; Sonnet 5 accepts text, image, and file input |
| Long single-response generation | Claude Sonnet 5 | 128,000 max output tokens vs Qwen3 Max's 32,768 |
| Cost-sensitive multilingual chat | Qwen3 Max | Input price is 2.56x lower per token on the provider list |
Questions
- Which is cheaper, Claude Sonnet 5 or Qwen3 Max?
- Qwen3 Max, by a wide margin. Provider pricing is $0.78/M input and $3.90/M output versus Sonnet 5's $2.00/M input and $10.00/M output. On a 10M-input/2M-output workload that's $15.60 for Qwen3 Max versus $40.00 for Sonnet 5 — a 2.56x gap on input tokens alone.
- How much bigger is Sonnet 5's context window?
- Sonnet 5 supports 1,000,000 tokens of context versus Qwen3 Max's 262,144, a 3.81x ratio. That's the difference between fitting an entire large codebase or long document in one call versus needing to chunk it for Qwen3 Max.
- Does Qwen3 Max support image input?
- No. Qwen3 Max is text-in, text-out only. Claude Sonnet 5 supports text, image, and file input with text output, so it's the only choice of the two for multimodal tasks.
- Which model scores higher on coding benchmarks?
- Claude Sonnet 5 has an Artificial Analysis coding index of 71.5 and agentic index of 46.7. Qwen3 Max's dataset here shows Design Arena rankings instead, with its strongest category (asciiart) at rank 32 out of the field — no direct coding-index comparison exists between the two in this data.