Mistral Large 3 vs Qwen3.5-27B
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by Mistral
|
by Alibaba
|
|---|---|---|
| Overview | ||
| Status | Current mid tier | Current mid tier Open weights |
| Released | Nov 1, 2025 | Feb 25, 2026 |
| Pricing per million tokens | ||
| Input | $0.500/Mtok | $0.300/Mtok |
| Output | $1.50/Mtok | $2.40/Mtok |
| Blended avg | $0.750/Mtok | $0.825/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 ($0.195/$1.56). 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 | 128K tokens | 262K tokens |
| Parameters | Proprietary | 27B |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
text
|
| Benchmarks sources: Mistral model card, Artificial Analysis / Artificial Analysis | ||
| Independent composite scores measured for both models — each on its own scale | ||
| AA-Omniscience Index (−100–100) | -39.6 | -44 |
| LMSYS Chatbot Arena | 1414.7 ELO | 1408 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 Qwen3.5-27B 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 |
Mistral — $0.500/$1.50/Mtok
|
Alibaba — $0.300/$2.40/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | Mistral Large 3 | Qwen3.5-27B | Savings |
|---|---|---|---|
| 1M tokens | $0.75 | $0.83 | $0.07 (8.5%) |
| 10M tokens | $7.5 | $8.25 | $0.75 (9.1%) |
| 100M tokens | $75 | $82.5 | $7.5 (9.1%) |
| 1000M tokens | $750 | $825 | $75 (9.1%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $0.750/Mtok blended vs $0.825 — 9.1% 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
The cheaper option here — Mistral Large 3 costs $0.750/Mtok blended on Mistral.
Summary
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.
Qwen3.5-27B by Alibaba costs $0.300/Mtok input and $2.40/Mtok output, with a 262K-token context window. It supports text input.
On a blended cost basis, Mistral Large 3 is 9.1% cheaper than Qwen3.5-27B.
The two aren't directly comparable on average benchmark score: Mistral Large 3 has published per-benchmark results, while Qwen3.5-27B 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.