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Compare / head-to-head

Mistral Medium 3.5vsQwen3.7-Plus

Qwen3.7-Plus leads 1 of 1 shared benchmark. Qwen3.7-Plus is 6.5x cheaper per token. Qwen3.7-Plus has the larger context window (1M tokens).

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

Shared benchmarks
0 – 1
Qwen3.7-Plus leads
Cheaper per token
Qwen3.7-Plus
6.5x cheaper, input + output
Larger context
Qwen3.7-Plus
1M 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
Qwen3.7-Plus
Qwen · released 2026-05-26
textvision
Context
1M
Max out
Input /1M
$0.276
Output /1M
$1.1
Cached /1M
Scores
3 · 3 core
Quality

Benchmark matrix

BenchmarkMistral Medium 3.5Qwen3.7-PlusΔEdge
Reported by both · 1
LMArena Elo1420.6 1454.2 -33.6Qwen3.7-Plus
Only Mistral Medium 3.5 reports · 2
SWE-bench Verified77.6% not reported
Tau3 Telecom91.4 not reported
Only Qwen3.7-Plus reports · 2
GPQA Diamondnot reported87.9% epoch
OTIS Mock AIME 2024-2025 (Epoch AI run)not reported93.3% epoch
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 Qwen3.7-Plus 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 3.5Qwen3.7-PlusEdge
Context window256K tokens1M tokensQwen3.7-Plus
Max output
Input price / 1M$1.5 $0.276 Qwen3.7-Plus
Output price / 1M$7.5 $1.1 Qwen3.7-Plus
Cached input / 1M$0.15
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$9$1.38Qwen3.7-Plus
Modalitiestext · visiontext · visionTie
Released2026-04-282026-05-26
Cited benchmark scores33
Reliability

Provider status

All providers
More matchups

Mistral Medium 3.5 vs …

More matchups

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Built by Respan
Which one wins on your data?

Public benchmarks are a starting point. Run Mistral Medium 3.5 and Qwen3.7-Plus on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.