Qwen3 Embedding 8B vs Mistral Medium 3.5 128B
At a Glance
| Compare |  Mistral Medium 3.5 128BMistral AI | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.010Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Context windowMaximum documented tokens | 33K | 262K |
| Model facts checked | Sep 3, 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 Embedding 8B | Mistral-Medium-3.5-128B |
|---|---|---|
| Developer | Qwen | Mistral AI |
| Family | Qwen3 Embedding | Mistral Medium 3 5 128b |
| Model | Qwen3 Embedding 8B | Mistral-Medium-3.5-128B |
| Version | Qwen3 Embedding 8B | Mistral-Medium-3.5-128B |
| Lifecycle | active | active |
| Released | 2025-06-03 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Embedding | Text |
| Context window | 33K | 262K |
| Total parameters | 8B | 127.7B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard) | Unknown |
| Capabilities | embeddings, multilingual, retrieval | chat, generation, reasoning, tools |
Qwen3 Embedding 8B Capabilities
Mistral Medium 3.5 128B Capabilities
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Primary Evidence
Sources and Freshness
Questions
Qwen3 Embedding 8B vs Mistral Medium 3.5 128B FAQs
Is Qwen3 Embedding 8B or Mistral Medium 3.5 128B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Embedding 8B and Mistral Medium 3.5 128B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3 Embedding 8B or Mistral Medium 3.5 128B?+
Only Qwen3 Embedding 8B has a directly sourced input price: $0.010 per million tokens. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, Qwen3 Embedding 8B or Mistral Medium 3.5 128B?+
Mistral Medium 3.5 128B has the larger sourced context window. Qwen3 Embedding 8B supports 33K and Mistral Medium 3.5 128B supports 262K.
Which performs better in benchmarks, Qwen3 Embedding 8B or Mistral Medium 3.5 128B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3 Embedding 8B or Mistral Medium 3.5 128B be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3 Embedding 8B is open weight; Mistral Medium 3.5 128B is open weight.
Can Qwen3 Embedding 8B and Mistral Medium 3.5 128B understand images?+
Qwen3 Embedding 8B is not documented with image input; Mistral Medium 3.5 128B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3 Embedding 8B or Mistral Medium 3.5 128B?+
Neither has a larger sourced maximum output. Qwen3 Embedding 8B is — and Mistral Medium 3.5 128B is —.
Do Qwen3 Embedding 8B and Mistral Medium 3.5 128B support reasoning and tool use?+
Qwen3 Embedding 8B: none of these features are definitively sourced. Mistral Medium 3.5 128B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3 Embedding 8B or Mistral Medium 3.5 128B?+
Qwen3 Embedding 8B has 2 sourced provider routes; Mistral Medium 3.5 128B has 0, so Qwen3 Embedding 8B has broader tracked availability.
Which offers better value, Qwen3 Embedding 8B or Mistral Medium 3.5 128B?+
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.