ModelsCompareBest forBenchmarksStatusPricingAPI
Compare / head-to-head

CodestralvsQwen3.8-Flash

Codestral and Qwen3.8-Flash do not yet share a public benchmark, so quality cannot be compared apples-to-apples. Qwen3.8-Flash is 2.4x cheaper per token. Qwen3.8-Flash has the larger context window (1M tokens).

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

Shared benchmarks
0
no overlap yet
Cheaper per token
Qwen3.8-Flash
2.4x cheaper, input + output
Larger context
Qwen3.8-Flash
1M tokens
Provider uptime (30d)
100% · —
Mistral AI · Qwen
Codestral
Mistral AI · released 2025-01-13
text
Context
256K
Max out
Input /1M
$0.3
Output /1M
$0.9
Cached /1M
$0.03
Scores
1 · 1 core
Qwen3.8-Flash
Qwen · released 2026-08-26
textvision
Context
1M
Max out
131K
Input /1M
$0.113
Output /1M
$0.382
Cached /1M
Scores
0 · 0 core
Quality

Benchmark matrix

BenchmarkCodestralQwen3.8-FlashΔEdge
Reported by both · 0
No public benchmark is reported for both models yet.
Only Codestral reports · 1
HumanEval86.6% not reported
Only Qwen3.8-Flash reports · 0
Qwen3.8-Flash reports nothing Codestral does not.
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 Codestral minus Qwen3.8-Flash 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

SpecCodestralQwen3.8-FlashEdge
Context window256K tokens1M tokensQwen3.8-Flash
Max output131K tokens
Input price / 1M$0.3 $0.113 Qwen3.8-Flash
Output price / 1M$0.9 $0.382 Qwen3.8-Flash
Cached input / 1M$0.03
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$1.2$0.495Qwen3.8-Flash
Modalitiestexttext · visionQwen3.8-Flash
Released2025-01-132026-08-26
Cited benchmark scores10
Reliability

Provider status

All providers
More matchups

Codestral vs …

Built by Respan
Which one wins on your data?

Public benchmarks are a starting point. Run Codestral and Qwen3.8-Flash on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.