Popular Comparisons:
⚡3-Second Selection Verdict
Daily & TestsPick Codestral (Save 94%)
Mistral AIVerified

Codestral

★ Save 94%
Input$0.30 / 1M
Output$0.90 / 1M
Context262K
CursorBench Pass Rate—
AnthropicVerified

Claude Opus 5.5

★ Massive Context 1M
Input$4.00 / 1M
Output$20.00 / 1M
Context1M
CursorBench Pass Rate57.8%

Pick your workflow, then your budget

Estimates use our price snapshot, excluding cache, retries, taxes and tools. Check availability for preview and legacy models.

Workload cost · USD (lower costs less)

Codestral$4.80
Claude Opus 5.5$80.00

Context capacity · tokens (not recall accuracy)

Codestral262,144
Claude Opus 5.51,000,000

CursorBench 4.0 · %

CodestralNo verified data
Claude Opus 5.557.8%

Tool reliability, long-context recall and same-harness SWE-bench: untested, not zero.

CursorBench · 2026-09-22 ↗
Patch review example: why does an empty array slip through?

Editorial example, not measured model output. Review boundary contracts and regression tests; this is not a model ranking.

export function mean(values: number[]) {
  return values.reduce((a, b) => a + b, 0)
    / values.length;
}

// mean([]) => NaN
// Missing an explicit empty-input contract
⚙️ Select ModelCodestral vs Claude Opus 5.5
Slot 1Mistral AI
Slot 2Anthropic
Slot 3
Codestral VS Claude Opus 5.5
💳 View Plans↗

💰 Monthly Cost Simulation

Simulate monthly cost differences based on your estimated token usage volume

Monthly Input Tokens (Prompt)10 M tokens
Monthly Output Tokens (Completion)2 M tokens
Codestral
$4.80/ mo
(in: $0.3 + out: $0.9)
Claude Opus 5.5
$80.00/ mo
(in: $4 + out: $20)
AttributeCodestralMistral AIClaude Opus 5.5Anthropic
Input$0.30$4.00
Output$0.90$20.00
Context262K1M
CursorBench Pass Rate—57.8%
StatusVerifiedVerified
Tags & CapabilitiesCoding, Code completionNew, Flagship, Reasoning, Coding, Agentic, Adaptive thinking, SOTA
LMArena Code#—#1
LMArena Agent#—#1
CursorBench#—#1
Artificial Analysis#—#1
Vals AI#—#3
LiveBench#—#2
LMArena Text#—#2
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