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Compare / head-to-head

Mistral Medium 3.5vsQwen3.5 27B

Mistral Medium 3.5 leads 2 of 2 shared benchmarks. Qwen3.5 27B is 11.6x cheaper per token. Qwen3.5 27B has the larger context window (262K tokens).

Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.

Shared benchmarks
2 – 0
Mistral Medium 3.5 leads
Cheaper per token
Qwen3.5 27B
11.6x cheaper, input + output
Larger context
Qwen3.5 27B
262K tokens
Provider uptime (30d)
100% · —
Mistral AI · Qwen
Mistral Medium 3.5
Mistral AI · released 2026-04-28
textvision
Context
256K
Max out
Input /1M
$1.5
Output /1M
$7.5
Cached /1M
$0.15
Scores
3 · 2 core
textvision
Context
262K
Max out
Input /1M
$0.086
Output /1M
$0.688
Cached /1M
Scores
5 · 5 core
Quality

Benchmark matrix

BenchmarkMistral Medium 3.5Qwen3.5 27BΔEdge
Reported by both · 2
SWE-bench Verified77.6% 75% +2.6 ptMistral Medium 3.5
LMArena Elo1420.6 1408.1 +12.5Mistral Medium 3.5
Only Mistral Medium 3.5 reports · 1
Tau3 Telecom91.4 not reported
Only Qwen3.5 27B reports · 3
GPQA Diamondnot reported85.5%
MMLU-Pronot reported86.1%
AIME 2026not reported91.7% matharena
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Mistral Medium 3.5 minus Qwen3.5 27B in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing

Side by side

SpecMistral Medium 3.5Qwen3.5 27BEdge
Context window256K tokens262K tokensQwen3.5 27B
Max output
Input price / 1M$1.5 $0.086 Qwen3.5 27B
Output price / 1M$7.5 $0.688 Qwen3.5 27B
Cached input / 1M$0.15
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$9$0.774Qwen3.5 27B
Modalitiestext · visiontext · visionTie
Released2026-04-28
Cited benchmark scores35
Reliability

Provider status

All providers
More matchups

Mistral Medium 3.5 vs …

Built by Respan
Which one wins on your data?

Public benchmarks are a starting point. Run Mistral Medium 3.5 and Qwen3.5 27B on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.