head-to-head · model vs model
Qwen3.7 Max vs DeepSeek V4 Pro
Live matchup data for Qwen3.7 Max and DeepSeek V4 Pro: OpenRouter usage, pricing, benchmark scores, and community sentiment, refreshed daily. No verdicts — read the tape.
share of openrouter tokens
as of Jul 7, 2026 · Δ vs ≥7d prior
usage share — openrouter model rankings
Usage crossover
current leader: DeepSeek V4 Pro
source: OpenRouter model rankings · daily · 90d
through Jul 7, 2026
side by side
Spec & pricing
| Spec | Qwen3.7 Max | DeepSeek V4 Pro |
|---|---|---|
| Vendor | Alibaba (Qwen) | DeepSeek |
| Homepage | openrouter.ai | openrouter.ai |
| Context window | 1M tokens | 1M tokens |
| Input price | $1.25/MTok | $0.43/MTok |
| Output price | $3.75/MTok | $0.87/MTok |
| Cache read | $0.25/MTok | $0.0036/MTok |
| Price as of | Jul 8, 2026 · openrouter | Jul 8, 2026 · openrouter |
sources: provider pages · OpenRouter · GitHub · package registries
— = not tracked / not applicable
head to head
Benchmarks
| Benchmark | Qwen3.7 Max | DeepSeek V4 Pro | Source |
|---|---|---|---|
| aa-agentic-index | 30.6 index— · qwen/qwen3.7-max | 36.4 index— · deepseek/deepseek-v4-pro | openrouter.ai |
| aa-coding-index | 66 index— · qwen/qwen3.7-max | 59.4 index— · deepseek/deepseek-v4-pro | openrouter.ai |
| aa-intelligence-index | 46 index— · qwen/qwen3.7-max | 44.3 index— · deepseek/deepseek-v4-pro | openrouter.ai |
best tracked score per benchmark · scores are not directly comparable across benchmarks
sources linked per row
community pulse
Reddit sentiment
| Signal | Qwen3.7 Max | DeepSeek V4 Pro |
|---|---|---|
sentiment feed pending — Reddit pulse lands with the daily crawl | ||
source: Reddit mentions, LLM-classified sentiment · trailing 30d
awaiting first crawl
faq
Frequently asked
- Is Qwen3.7 Max more used than DeepSeek V4 Pro?
- As of Jul 7, 2026, Qwen3.7 Max shows 0.3% of OpenRouter token volume and DeepSeek V4 Pro shows 6.8% of OpenRouter token volume. The chart above tracks the full daily series with every lead change marked.
- How does Qwen3.7 Max pricing compare to DeepSeek V4 Pro?
- Qwen3.7 Max runs $1.25 per million input tokens and $3.75 per million output tokens (as of Jul 8, 2026). DeepSeek V4 Pro runs $0.43 per million input tokens and $0.87 per million output tokens (as of Jul 8, 2026). Full plan and per-token detail is in the spec table above, each with its source and capture date.
- How do Qwen3.7 Max and DeepSeek V4 Pro score on coding benchmarks?
- On aa-agentic-index, Qwen3.7 Max scores 30.6 index (—) and DeepSeek V4 Pro scores 36.4 index (—). All tracked results and their sources are in the benchmark table above.
- Where does this comparison data come from?
- OpenRouter public rankings (usage), provider pricing pages (plans and per-token prices), GitHub and package registries (adoption), public benchmark leaderboards, and Reddit (sentiment). Every stored datum keeps its source URL, and the tape refreshes daily. The Token Tape publishes the data without declaring a winner.
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