Mistral Large 2 vs Qwen3-Coder-480B: Detailed Comparison

Choosing between Mistral Large 2 (Mistral AI) and Qwen3-Coder-480B (Alibaba) comes down to three things: per-token pricing, context window, and which capability matters most for your workload. Mistral Large 2 costs $2.00/M input vs $2.00/M for Qwen3-Coder-480B; context windows are 128K vs 1.0M tokens. Detailed breakdown below.

Side-by-side specs

SpecMistral Large 2Qwen3-Coder-480B
ProviderMistral AIAlibaba
Released2024-07-242025-07-22
Input price $2.00/M $2.00/M
Output price $6.00/M $6.00/M
Cached input
Context window 128K 1.0M
Max output 8K 66K
Modalities text text
Tokenizer mistral qwen

Capability matrix

CapabilityMistral Large 2Qwen3-Coder-480B
function calling Yes Yes
json mode Yes Yes
streaming Yes Yes
code No Yes
tool use No Yes

Benchmark comparison

Higher is better for all benchmarks shown.

BenchmarkCategoryMistral Large 2Qwen3-Coder-480BΔ
MMLU general 84.0
HumanEval coding 92.0
SWE-bench Verified coding 69.6
Aider Polyglot coding 63.4

Per-call cost on typical workloads

Workload (in/out tokens)Mistral Large 2Qwen3-Coder-480BCheaper by
Standard chat (1K / 500) $0.005000 $0.005000 Tied
RAG (4K / 500) $0.011000 $0.011000 Tied
Long doc (20K / 1K) $0.046000 $0.046000 Tied
Very long context (100K / 2K) $0.209000 $0.209000 Tied

When to choose Mistral Large 2 over Qwen3-Coder-480B

  • Mistral Large 2 fits when your stack is already on Mistral AI (single billing, SDK, observability surface).

When to choose Qwen3-Coder-480B over Mistral Large 2

  • Larger context window (1.0M vs 128K).
  • Supports code — Mistral Large 2 does not.
  • Supports tool use — Mistral Large 2 does not.

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