Mixtral 8x7B vs Qwen3.5-122B-A10B
Mixtral 8x7B (2023) and Qwen3.5-122B-A10B (2026) are frontier reasoning models from MistralAI and Alibaba. Mixtral 8x7B ships a 32k-token context window, while Qwen3.5-122B-A10B ships a 262k-token context window. On Google-Proof Q&A, Qwen3.5-122B-A10B leads by 30.9 pts. On pricing, Mixtral 8x7B costs $0.15/1M input tokens versus $0.26/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mixtral 8x7B is ~73% cheaper at $0.15/1M; pay for Qwen3.5-122B-A10B only for reasoning depth.
Decision scorecard
Local evidence first| Signal | Mixtral 8x7B | Qwen3.5-122B-A10B |
|---|---|---|
| Best for | provider-routed production | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding and Classification | Coding, RAG, and Agents |
| Context window | 32k | 262k |
| Cheapest output | $0.45/1M tokens | $2.08/1M tokens |
| Provider routes | 18 tracked | 3 tracked |
| Shared benchmarks | 1 shared | Google-Proof Q&A leader |
Decision tradeoffs
- Mixtral 8x7B has the lower cheapest tracked output price at $0.45/1M tokens.
- Mixtral 8x7B has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Mixtral 8x7B for Coding and Classification.
- Qwen3.5-122B-A10B holds a shared-benchmark lead on Google-Proof Q&A, ahead by 30.9 points.
- Qwen3.5-122B-A10B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-122B-A10B uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Qwen3.5-122B-A10B 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.
Mixtral 8x7B
$233
Cheapest tracked route/tier: Mistral AI Studio
Qwen3.5-122B-A10B
$728
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $496. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Alibaba Cloud PAI-EAS; start route-level A/B tests there.
- Qwen3.5-122B-A10B is $1.63/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Qwen3.5-122B-A10B adds Vision, Multimodal, and Reasoning in local capability data.
- Provider overlap exists on Alibaba Cloud PAI-EAS; start route-level A/B tests there.
- Mixtral 8x7B is $1.63/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-12-11 | 2026-02-24 |
| Context window | 32k | 262k |
| Parameters | 8x7B | 122B |
| Architecture | Mixture of Experts | Mixture of Experts |
| License | Apache 2.0OSI-approved | Apache 2.0OSI-approved |
| Openness | Open source | Open source |
| Weights | Unknown | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Pricing attribute | Mixtral 8x7B | Qwen3.5-122B-A10B |
|---|---|---|
| Input price | $0.15/1M tokens | $0.26/1M tokens |
| Output price | $0.45/1M tokens | $2.08/1M tokens |
| Providers |
Capabilities
| Capability | Mixtral 8x7B | Qwen3.5-122B-A10B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| JSON / Tool use | No | Yes |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Mixtral 8x7B | Qwen3.5-122B-A10B |
|---|---|---|
| Google-Proof Q&A | 54.8 | 85.7 |
Continue comparing
Popular comparisons for Mixtral 8x7B
Popular comparisons for Qwen3.5-122B-A10B
Last reviewed: 2026-07-11. Data sourced from public model cards and provider documentation.