Qwen3.8 2.4T A95B vs DeepSeek V4 Pro
At a Glance
| Compare |  DeepSeek V4 ProDeepSeek | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | UnrankedNot in the 57-model eligible cohort | #19 of 5757.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 38.6–72.0 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 27-model eligible cohort | #10 of 27$0.054 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | UnrankedNot in the 27-model eligible cohort | #11 of 2751.5 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.9–58.5 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Deepinfra ↗ · Oct 5, 2026 | $0.66DeepSeek ↗ · Sep 2, 2026 |
| Output priceFrom · USD / 1M tokens | $6.00Deepinfra ↗ · Oct 5, 2026 | $1.5441Openrouter ↗ · Aug 28, 2026 |
| Context windowMaximum documented tokens | 262K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Qwen3.8-2.4T-A95B | DeepSeek-V4-Pro |
|---|---|---|
| Developer | Qwen | DeepSeek |
| Family | Qwen3 8 2 4t A95b | Deepseek V4 Pro |
| Model | Qwen3.8-2.4T-A95B | DeepSeek-V4-Pro |
| Version | Qwen3.8-2.4T-A95B | DeepSeek-V4-Pro |
| Lifecycle | active | active |
| Released | Unknown | 2026-04-24 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 262K | 1,049K |
| Total parameters | 2.45T | 1.6T |
| Active parameters | 95B | 49B |
| License | other | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning |
Qwen3.8 2.4T A95B Capabilities
DeepSeek V4 Pro Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs |  Hy4 previewTencent | cross-developer peerstext | |
| vs |  Qwen3.8-27BQwen | family variantstext | |
| vs |  Kimi-K2-InstructMoonshot AI | cross-developer peerstext | |
| vs | Kimi-K2-ThinkingMoonshot AI | cross-developer peerstext | |
| vs | Kimi-K2.5Moonshot AI | cross-developer peerstext | |
| vs | Kimi-K2.6Moonshot AI | cross-developer peerstext | |
Qwen3-Coder-NextQwen | vs | family variantstext | |
| vs | family variantstext | ||
| vs | family variantstext | ||
| vs |  Inkling-SmallThinking Machines Lab | cross-developer peerstext | |
| vs |  GLM-5Z.ai | cross-developer peerstext | |
| vs | GLM-5.1Z.ai | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Qwen3.8 2.4T A95B vs DeepSeek V4 Pro FAQs
Is Qwen3.8 2.4T A95B or DeepSeek V4 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and DeepSeek V4 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.8 2.4T A95B or DeepSeek V4 Pro?+
Qwen3.8 2.4T A95B is $2.00 and DeepSeek V4 Pro is $0.66 per million tokens, so DeepSeek V4 Pro is cheaper on this metric. Qwen3.8 2.4T A95B is $6.00 and DeepSeek V4 Pro is $1.5441 per million tokens, so DeepSeek V4 Pro is cheaper on this metric.
Which has a larger context window, Qwen3.8 2.4T A95B or DeepSeek V4 Pro?+
DeepSeek V4 Pro has the larger sourced context window. Qwen3.8 2.4T A95B supports 262,144 tokens and DeepSeek V4 Pro supports 1,048,576 tokens.
Which performs better in benchmarks, Qwen3.8 2.4T A95B or DeepSeek V4 Pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.8 2.4T A95B or DeepSeek V4 Pro be self-hosted?+
Both models have the same sourced self-hosting status: supported. Qwen3.8 2.4T A95B is open weight; DeepSeek V4 Pro is open weight.
Can Qwen3.8 2.4T A95B and DeepSeek V4 Pro understand images?+
Qwen3.8 2.4T A95B is not documented with image input; DeepSeek V4 Pro is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.8 2.4T A95B or DeepSeek V4 Pro?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do Qwen3.8 2.4T A95B and DeepSeek V4 Pro support reasoning and tool use?+
Qwen3.8 2.4T A95B: reasoning and tool calling. DeepSeek V4 Pro: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.8 2.4T A95B or DeepSeek V4 Pro?+
Qwen3.8 2.4T A95B has 5 sourced provider routes; DeepSeek V4 Pro has 6, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, Qwen3.8 2.4T A95B or DeepSeek V4 Pro?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.