GPQA Diamond 92.4 — near the top of the field on graduate-level science reasoning
SWE-bench Pro 60.6 and Terminal-Bench 2.0 69.7 at launch — top-5 global on agentic evals at the time
1M context with usable tail-of-window retrieval plus a 90% cached-input discount
Weaknesses
Behind the mid-2026 Western frontier on agentic coding, and now superseded by Qwen 3.8 Max — which is also cheaper
API-only with no open weights — a break from Qwen tradition that removes the self-hosting advantage
Real-world use cases
What people actually use Qwen 3.7 Max for.
Marathon agent sessions — designed for ~35-hour autonomous runs with thousands of tool calls
Graduate-level science reasoning (92.4 GPQA Diamond, near the top of the field)
Long agent loops made cheap by the 90% cached-input discount ($0.25/1M cached)
How Qwen 3.7 Max compares
The nearest models people weigh against it, and what actually separates them.
vs Claude 3.5 Sonnet — Against Claude 3.5 Sonnet (Anthropic), Qwen 3.7 Max runs about 72% cheaper per token and takes 5x the context. Take Qwen 3.7 Max unless you specifically need what Claude 3.5 Sonnet does better.
vs Claude 3.7 Sonnet (thinking) — Against Claude 3.7 Sonnet (thinking) (Anthropic), Qwen 3.7 Max runs about 44% cheaper per token, takes 5x the context and answers faster. Take Qwen 3.7 Max unless you specifically need what Claude 3.7 Sonnet (thinking) does better.
vs Claude Fable 5 — Against Claude Fable 5 (Anthropic), Qwen 3.7 Max runs about 83% cheaper per token and answers faster. Take Qwen 3.7 Max unless you specifically need what Claude Fable 5 does better.
Price History
Qwen 3.7 Max pricing over time
→0% since Aug 7
37 data points · tracked daily since Aug 7, 2026
Ready to try it?
Start using Qwen 3.7 Max
Long-horizon autonomous agent runs. Start free — no card required.
Claude 3.5 Sonnet is Anthropic's mid-cycle flagship model, balancing strong reasoning, coding, and instruction-following with a 200K context window. It sits between Haiku and Opus in Anthropic's lineup, offering near-flagship quality at a lower cost than top-tier models.
Verdict
One of the best models for coding and complex instruction-following, but its premium pricing demands premium use cases.
Quality score
81%
Pricing
$6.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
200k tokens
Pricing at $6 input / $30 output per million tokens is significantly higher than GPT-4o ($2.50/$10). Best accessed via Anthropic API or Amazon Bedrock. Claude 3.5 Sonnet (October 2024 version) supersedes the June 2024 release with improved performance.
Claude 3.7 Sonnet with extended thinking enabled — Anthropic's hybrid reasoning model that explicitly deliberates before responding, surfacing its chain-of-thought for complex multi-step problems. It sits between standard Sonnet and full reasoning-only models, balancing depth with practical usability.
Verdict
The most transparent reasoning model on the market — ideal when you need to see and trust the thought process, not just the answer.
Quality score
73%
Pricing
$3.00/1M in
$15.00/1M out
Speed
Deliberate
2/5 speed
Context
200k tokens
Thinking tokens (the internal reasoning trace) count toward output token billing, which can significantly increase costs on complex queries. The thinking budget can often be configured via the API. Best used selectively for tasks that genuinely benefit from deliberation rather than as a default model.
ReasoningExtended ThinkingCodingAgenticAnthropic
Best for
Tackling complex coding challenges, mathematical proofs, and multi-step logical problems where visible reasoning and higher accuracy matter more than speed.
Anthropic's new Mythos-class flagship and the most capable coding model anyone can use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8. 1M context, 128K output, native parallel subagents. Released June 9, 2026.
Verdict
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1M tokens
Launched June 9, 2026 as the public, Mythos-class release. Available on the Claude API, Microsoft Foundry, and Google Vertex AI. Free for all users until June 22, 2026. Same underlying model as Claude Mythos 5, with safeguards that block specific high-risk cyber responses.
Coding leaderSWE-Bench Pro #1Mythos-classParallel subagentsAgenticLong contextPremiumNew
Best for
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
Qwen 3.7 Max costs $2.5 per million input tokens and $7.5 per million output tokens on the API, with cached input at $0.5 per million. A month of 10M input and 2M output tokens runs about $40.00 at list price, before any batch or caching discounts.
What is the context window of Qwen 3.7 Max?
Qwen 3.7 Max has a 991k tokens context window, with up to 64k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
What is Qwen 3.7 Max best for?
Qwen 3.7 Max is best for long-horizon autonomous agent runs. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
When should I avoid Qwen 3.7 Max?
Starting fresh — Qwen 3.8 Max is stronger, cheaper, and multimodal.
What is a cheaper alternative to Qwen 3.7 Max?
GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against Qwen 3.7 Max's $2.50/1M/1M. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing. Compare it first if Qwen 3.7 Max's pricing is the thing stopping you.
What is a faster alternative to Qwen 3.7 Max?
Claude 3.5 Sonnet — balanced against Qwen 3.7 Max's balanced, with 200k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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