Qwen3.8-2.4T-A95B vs DeepSeek V4 Pro
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by Alibaba
|
by DeepSeek
4 providers:
DeepSeek $0.435/$0.870
Fireworks $1.74/$3.48
Together $1.74/$3.48
DeepInfra $1.30/$2.60
|
|---|---|---|
| Overview | ||
| Status | Current open weights Open weights | Current mid tier |
| Released | Aug 8, 2026 | Apr 24, 2026 |
| Pricing per million tokens | ||
| Input | $2.00/Mtok | $0.435/Mtok |
| Output | $6.00/Mtok | $0.870/Mtok |
| Blended avg | $3.00/Mtok | $0.544/Mtok |
| Cached input | — | $0.004/Mtok |
| Specifications | ||
| Context window | 1M tokens | 1M tokens |
| Parameters | 2.4T (A95B) | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
text
|
| Benchmarks sources: Artificial Analysis / Vellum LLM Leaderboard | ||
| Independent composite scores measured for both models — each on its own scale | ||
| AA Intelligence Index | 57.7 | 53.2 |
| AA Agentic Index | 57.1 | 49.6 |
| AA-Omniscience Index (−100–100) | 4.3 | 0.8 |
| GDPval-AA v2 | — | 1590 ELO |
| LMSYS Chatbot Arena | — | 1458.2 ELO |
| Per-benchmark results published for DeepSeek V4 Pro only — no independent per-benchmark scores exist for Qwen3.8-2.4T-A95B yet | ||
| Avg benchmark score | — | 73.5 |
| Perf / dollar | — | 135.2 |
| GPQA Diamond | — | 90.1 |
| SWE-Bench Verified | — | 80.6 vendor |
| LiveCodeBench | — | 93.5 |
| MCP Atlas | — | 73.6 |
| BrowseComp | — | 83.4 |
| Humanity's Last Exam | — | 48.2 |
| ARC-AGI 2 | — | 30 |
| AIME 2025 | — | 75 |
| MMMLU | — | 82 |
| BFCL | — | 72 |
| HumanEval | — | 80.6 |
| MATH 500 | — | 80 |
| Providers | ||
| Available from |
Alibaba — $2.00/$6.00/Mtok
|
DeepSeek — $0.435/$0.870/Mtok
Fireworks — $1.74/$3.48/Mtok
Together — $1.74/$3.48/Mtok
DeepInfra — $1.30/$2.60/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | Qwen3.8-2.4T-A95B | DeepSeek V4 Pro | Savings |
|---|---|---|---|
| 1M tokens | $3 | $0.54 | $2.46 (82%) |
| 10M tokens | $30 | $5.44 | $24.56 (81.9%) |
| 100M tokens | $300 | $54.37 | $245.63 (81.9%) |
| 1000M tokens | $3000 | $543.75 | $2456.25 (81.9%) |
When to pick which
distilled from the pricing and spec data above- you want open weights — self-host it, fine-tune it, or exit the API entirely; DeepSeek V4 Pro is closed
- cost dominates: $0.544/Mtok blended vs $3.00 — 81.9% less on the same 50/50 token mix
- your workload re-reads context (agents, RAG, long chats): cached input costs $0.004/Mtok — 99% off its list input price, a discount Qwen3.8-2.4T-A95B doesn't offer
- provider flexibility: available from 4 providers, so you can price-shop hosts or fail over
The cheaper option here — DeepSeek V4 Pro costs $0.544/Mtok blended on DeepSeek.
Summary
Qwen3.8-2.4T-A95B by Alibaba costs $2.00/Mtok input and $6.00/Mtok output, with a 1M-token context window. It supports text input.
DeepSeek V4 Pro by DeepSeek costs $0.435/Mtok input and $0.870/Mtok output, with a 1M-token context window. It supports text input and is available from 4 providers.
On a blended cost basis, DeepSeek V4 Pro is 81.9% cheaper than Qwen3.8-2.4T-A95B.
The two aren't directly comparable on average benchmark score: DeepSeek V4 Pro has published per-benchmark results, while Qwen3.8-2.4T-A95B does not yet — it is measured today on independent composites (see the table above).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.