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GLM-4.7-FlashXvsMistral Small 4

GLM-4.7-FlashX and Mistral Small 4 do not yet share a public benchmark, so quality cannot be compared apples-to-apples. GLM-4.7-FlashX is 1.6x cheaper per token. Mistral Small 4 has the larger context window (256K tokens).

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

Shared benchmarks
0
no overlap yet
Cheaper per token
GLM-4.7-FlashX
1.6x cheaper, input + output
Larger context
Mistral Small 4
256K tokens
Provider uptime (30d)
— · 100%
Z.ai · Mistral AI
text
Context
200K
Max out
131K
Input /1M
$0.07
Output /1M
$0.4
Cached /1M
$0.01
Scores
0 · 0 core
Mistral Small 4
Mistral AI · released 2026-03-16
textvision
Context
256K
Max out
Input /1M
$0.15
Output /1M
$0.6
Cached /1M
$0.015
Scores
3 · 2 core
Quality

Benchmark matrix

BenchmarkGLM-4.7-FlashXMistral Small 4ΔEdge
Reported by both · 0
No public benchmark is reported for both models yet.
Only GLM-4.7-FlashX reports · 0
GLM-4.7-FlashX reports nothing Mistral Small 4 does not.
Only Mistral Small 4 reports · 3
GPQA Diamondnot reported71.2%
MMLU-Pronot reported78%
Artificial Analysis Long Context Reasoningnot reported0.72
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 GLM-4.7-FlashX minus Mistral Small 4 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

SpecGLM-4.7-FlashXMistral Small 4Edge
Context window200K tokens256K tokensMistral Small 4
Max output131K tokens
Input price / 1M$0.07 $0.15 GLM-4.7-FlashX
Output price / 1M$0.4 $0.6 GLM-4.7-FlashX
Cached input / 1M$0.01 $0.015 GLM-4.7-FlashX
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$0.47$0.75GLM-4.7-FlashX
Modalitiestexttext · visionMistral Small 4
Released2026-03-16
Cited benchmark scores03
Reliability

Provider status

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Built by Respan
Which one wins on your data?

Public benchmarks are a starting point. Run GLM-4.7-FlashX and Mistral Small 4 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.