Qwen3.5-35B-A3B vs Mistral Large 3
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by Alibaba
|
by Mistral
|
|---|---|---|
| Overview | ||
| Status | Current mid tier Open weights | Current mid tier |
| Released | Feb 25, 2026 | Nov 1, 2025 |
| Pricing per million tokens | ||
| Input | $0.250/Mtok | $0.500/Mtok |
| Output | $2.00/Mtok | $1.50/Mtok |
| Blended avg | $0.688/Mtok | $0.750/Mtok |
| Price basis | Alibaba Model Studio International list price, single 0<Token≤256K tier, from the vendor's open-source Qwen table. Thinking-mode output is billed at the same rate as non-thinking. No context-cache or batch rate is printed for this SKU, so cached input is left unset rather than assumed. Gateway resellers quote lower routed rates ($0.225/$1.80). This SKU's row carries no discount label, so the standard list rate is the one tracked here — the same basis as every other Alibaba row on this site. | — |
| Specifications | ||
| Context window | 262K tokens | 128K tokens |
| Parameters | 35B (A3B) | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
text
|
| Benchmarks sources: Artificial Analysis / Mistral model card, Artificial Analysis | ||
| Independent composite scores measured for both models — each on its own scale | ||
| AA-Omniscience Index (−100–100) | -48.1 | -39.6 |
| LMSYS Chatbot Arena | 1395.5 ELO | 1414.7 ELO |
| AA Intelligence Index | — | 15.9 |
| AA Agentic Index | — | 5.5 |
| Per-benchmark results published for Mistral Large 3 only — no independent per-benchmark scores exist for Qwen3.5-35B-A3B yet | ||
| Avg benchmark score | — | 53.6 |
| Perf / dollar | — | 71.5 |
| GPQA Diamond | — | 58 |
| SWE-Bench Verified | — | 35 |
| Humanity's Last Exam | — | 18 |
| ARC-AGI 2 | — | 20 |
| AIME 2025 | — | 52 |
| MMMLU | — | 78 |
| BFCL | — | 68 |
| HumanEval | — | 85 |
| MATH 500 | — | 68 |
| Providers | ||
| Available from |
Alibaba — $0.250/$2.00/Mtok
|
Mistral — $0.500/$1.50/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | Qwen3.5-35B-A3B | Mistral Large 3 | Savings |
|---|---|---|---|
| 1M tokens | $0.69 | $0.75 | $0.06 (8%) |
| 10M tokens | $6.88 | $7.5 | $0.63 (8.4%) |
| 100M tokens | $68.75 | $75 | $6.25 (8.3%) |
| 1000M tokens | $687.5 | $750 | $62.5 (8.3%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $0.688/Mtok blended vs $0.750 — 8.3% less on the same 50/50 token mix
- you need the longer context: 262K tokens vs 128K (2×)
- you want open weights — self-host it, fine-tune it, or exit the API entirely; Mistral Large 3 is closed
- this pairing gives Mistral Large 3 no edge on price, context, cache discount, or measured performance — pick it only for qualitative fit (ecosystem, compliance, model behavior on your prompts)
The cheaper option here — Qwen3.5-35B-A3B costs $0.688/Mtok blended on Alibaba.
Summary
Qwen3.5-35B-A3B by Alibaba costs $0.250/Mtok input and $2.00/Mtok output, with a 262K-token context window. It supports text input.
Mistral Large 3 by Mistral costs $0.500/Mtok input and $1.50/Mtok output, with a 128K-token context window. It supports text input.
On a blended cost basis, Qwen3.5-35B-A3B is 8.3% cheaper than Mistral Large 3.It also has a larger context window.
The two aren't directly comparable on average benchmark score: Mistral Large 3 has published per-benchmark results, while Qwen3.5-35B-A3B does not yet — it is measured today on independent composites (see the table above).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.