DeepSeek V4 Flash vs Qwen3.5-397B-A17B
DeepSeek V4 Flash (2026) and Qwen3.5-397B-A17B (2026) are frontier-tier reasoning models from DeepSeek and Alibaba. DeepSeek V4 Flash ships a 1m-token context window, while Qwen3.5-397B-A17B ships a 262k-token context window. On MMLU PRO, Qwen3.5-397B-A17B leads by 1.4 pts. On pricing, DeepSeek V4 Flash ranges from $0.22 to $0.44/1M input tokens by tier; Qwen3.5-397B-A17B costs $0.39/1M input tokens. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
DeepSeek V4 Flash is safer overall; choose Qwen3.5-397B-A17B when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | DeepSeek V4 Flash | Qwen3.5-397B-A17B |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and long-context analysis | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 262k |
| Cheapest output | $0.12/1M tokens | $2.34/1M tokens |
| Provider routes | 5 tracked | 4 tracked |
| Shared benchmarks | 6 shared | MMLU PRO leader |
Decision tradeoffs
- DeepSeek V4 Flash holds a shared-benchmark lead on SWE-bench Verified, ahead by 2.8 points.
- DeepSeek V4 Flash has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek V4 Flash has the lower cheapest tracked output price at $0.12/1M tokens.
- DeepSeek V4 Flash has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags DeepSeek V4 Flash for Coding, RAG, and Agents.
- Qwen3.5-397B-A17B holds a shared-benchmark lead on MMLU PRO, ahead by 1.4 points.
- Qwen3.5-397B-A17B uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Qwen3.5-397B-A17B for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V4 Flash
$76.26
Cheapest tracked route/tier: OpenRouter
Qwen3.5-397B-A17B
$897
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $821. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Novita AI; start route-level A/B tests there.
- Qwen3.5-397B-A17B is $2.22/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Qwen3.5-397B-A17B adds Vision and Multimodal in local capability data.
- Provider overlap exists on OpenRouter and Novita AI; start route-level A/B tests there.
- DeepSeek V4 Flash is $2.22/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-24 | 2026-02-16 |
| Context window | 1m | 262k |
| Parameters | 284B | 397B |
| Architecture | Mixture of Experts | Mixture of Experts |
| License | MITOSI-approved | Apache 2.0OSI-approved |
| Openness | Open source | Open source |
| Weights | Available | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | DeepSeek V4 Flash | Qwen3.5-397B-A17B |
|---|---|---|
| Input price |
| $0.39/1M tokens |
| Output price |
| $2.34/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V4 Flash | Qwen3.5-397B-A17B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | Yes |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V4 Flash | Qwen3.5-397B-A17B |
|---|---|---|
| MMLU PRO | 86.4 | 87.8 |
| SWE-bench Verified | 79.0 | 76.2 |
| Google-Proof Q&A | 88.1 | 89.3 |
| LiveCodeBench | 91.6 | 83.6 |
| Humanity's Last Exam | 34.8 | 28.7 |
| Terminal-Bench 2.0 | 56.9 | 52.5 |
Continue comparing
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Last reviewed: 2026-07-03. Data sourced from public model cards and provider documentation.