head-to-head · model vs model
DeepSeek V3.2 vs Qwen3.7 Max
Live matchup data for DeepSeek V3.2 and Qwen3.7 Max: 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 V3.2
source: OpenRouter model rankings · daily · 90d
through Jul 7, 2026
side by side
Spec & pricing
| Spec | DeepSeek V3.2 | Qwen3.7 Max |
|---|---|---|
| Vendor | DeepSeek | Alibaba (Qwen) |
| Homepage | openrouter.ai | openrouter.ai |
| Context window | 131.1K tokens | 1M tokens |
| Input price | $0.23/MTok | $1.25/MTok |
| Output price | $0.34/MTok | $3.75/MTok |
| Cache read | $0.023/MTok | $0.25/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 | DeepSeek V3.2 | Qwen3.7 Max | Source |
|---|---|---|---|
| aa-coding-index | 44.2 index— · deepseek/deepseek-v3.2 | 66 index— · qwen/qwen3.7-max | openrouter.ai |
| aa-agentic-index | — | 30.6 index— · qwen/qwen3.7-max | openrouter.ai |
| aa-intelligence-index | — | 46 index— · qwen/qwen3.7-max | openrouter.ai |
| Aider Polyglot | 74.2%Oct 3 · DeepSeek-V3.2-Exp (Reasoner) | — | github.com |
| swe-bench-multilingual | 59%Feb 13 · mini v2.0.0a0 deepseek 3 2 | — | github.com |
best tracked score per benchmark · scores are not directly comparable across benchmarks
sources linked per row
community pulse
Reddit sentiment
| Signal | DeepSeek V3.2 | Qwen3.7 Max |
|---|---|---|
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 DeepSeek V3.2 more used than Qwen3.7 Max?
- As of Jul 7, 2026, DeepSeek V3.2 shows 0.8% of OpenRouter token volume and Qwen3.7 Max shows 0.3% of OpenRouter token volume. The chart above tracks the full daily series with every lead change marked.
- How does DeepSeek V3.2 pricing compare to Qwen3.7 Max?
- DeepSeek V3.2 runs $0.23 per million input tokens and $0.34 per million output tokens (as of Jul 8, 2026). Qwen3.7 Max runs $1.25 per million input tokens and $3.75 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 DeepSeek V3.2 and Qwen3.7 Max score on coding benchmarks?
- On aa-coding-index, DeepSeek V3.2 scores 44.2 index (—) and Qwen3.7 Max scores 66 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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