Qwen3.8 2.4T A95B vs DeepSeek V4 Flash
At a Glance
| Compare | DeepSeek V4 FlashDeepSeek | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Deepinfra ↗ · Sep 22, 2026 | $0.0868Openrouter ↗ · Aug 28, 2026 |
| Output priceFrom · USD / 1M tokens | $6.00Deepinfra ↗ · Sep 22, 2026 | $0.1736Openrouter ↗ · 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-Flash |
|---|---|---|
| Developer | Qwen | DeepSeek |
| Family | Qwen3 8 2 4t A95b | Deepseek V4 Flash |
| Model | Qwen3.8-2.4T-A95B | DeepSeek-V4-Flash |
| Version | Qwen3.8-2.4T-A95B | DeepSeek-V4-Flash |
| Lifecycle | active | retired |
| Released | Unknown | 2026-04-24 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 262K | 1,049K |
| Total parameters | 2.4T | 290.9B |
| Active parameters | 95B | 13B |
| 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) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning |
Qwen3.8 2.4T A95B Capabilities
DeepSeek V4 Flash Capabilities
Primary Evidence
Sources and Freshness
Questions
Qwen3.8 2.4T A95B vs DeepSeek V4 Flash FAQs
Is Qwen3.8 2.4T A95B or DeepSeek V4 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and DeepSeek V4 Flash, 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 Flash?+
Qwen3.8 2.4T A95B is $2.00 and DeepSeek V4 Flash is $0.0868 per million tokens, so DeepSeek V4 Flash is cheaper on this metric. Qwen3.8 2.4T A95B is $6.00 and DeepSeek V4 Flash is $0.1736 per million tokens, so DeepSeek V4 Flash is cheaper on this metric.
Which has a larger context window, Qwen3.8 2.4T A95B or DeepSeek V4 Flash?+
DeepSeek V4 Flash has the larger sourced context window. Qwen3.8 2.4T A95B supports 262K and DeepSeek V4 Flash supports 1,049K.
Which performs better in benchmarks, Qwen3.8 2.4T A95B or DeepSeek V4 Flash?+
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 Flash be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.8 2.4T A95B is open weight; DeepSeek V4 Flash is open weight.
Can Qwen3.8 2.4T A95B and DeepSeek V4 Flash understand images?+
Qwen3.8 2.4T A95B is not documented with image input; DeepSeek V4 Flash 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 Flash?+
Neither has a larger sourced maximum output. Qwen3.8 2.4T A95B is — and DeepSeek V4 Flash is —.
Do Qwen3.8 2.4T A95B and DeepSeek V4 Flash support reasoning and tool use?+
Qwen3.8 2.4T A95B: reasoning and tool calling. DeepSeek V4 Flash: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.8 2.4T A95B or DeepSeek V4 Flash?+
Qwen3.8 2.4T A95B has 5 sourced provider routes; DeepSeek V4 Flash has 5, a tie.
Which offers better value, Qwen3.8 2.4T A95B or DeepSeek V4 Flash?+
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.