HEAD-TO-HEAD BENCHMARK COMPARISONTier 2 vs Tier 3

Mistral Devstral 2512 vs Mistral Medium 3.5

Empirical evaluation across autonomous coding benchmarks (SWE-bench Verified, LiveCodeBench), token economics, and multi-agent topology in Swarm.

TECHNICAL VERDICT

For autonomous agentic coding where multi-file patch pass rate is paramount, Mistral Devstral 2512 holds the verified advantage (+14.2% advantage). Mistral Medium 3.5 is 2.5x cheaper on input tokens ($0.2/M vs $0.5/M). In Swarm multi-agent clusters, Deploy Mistral Devstral 2512 as Primary Planner / Orchestrator, with Mistral Medium 3.5 as high-throughput Coder subagent.

Mistral Devstral 2512

Coder Subagent
SWE-bench Verified:59.2%
LiveCodeBench:54%
Pricing (In / Out):$0.5 / $1.5
VS

Mistral Medium 3.5

Finder Subagent
SWE-bench Verified:45%
LiveCodeBench:38%
Pricing (In / Out):$0.2 / $0.8

Standardized Coding & Reasoning Benchmarks

Verified, contamination-free benchmark scores with direct mathematical deltas.

Benchmark MetricMistral Devstral 2512Mistral Medium 3.5Performance Delta
SWE-bench VerifiedReal-world GitHub issues resolved autonomously59.2%45%Mistral Devstral 2512 (+14.2% advantage)
LiveCodeBenchPost-training cutoff algorithmic challenges54%38%Mistral Devstral 2512 (+16% advantage)
LMSYS Coding EloCrowdsourced blind developer preference13601250Mistral Devstral 2512 (+110Elo advantage)
AIME (Competition Math)Deep multi-step deductive reasoning71.5%—Mistral Devstral 2512 (Only measured on 71.5)

Token Economics & Operational Cost Ratio

Pricing per 1M tokens and prompt caching advantages for long-horizon sessions.

Prompt Input Tokens
Mistral Devstral 2512$0.5 / 1M
Mistral Medium 3.5$0.2 / 1M

Mistral Medium 3.5 is 2.5x cheaper on input tokens ($0.2/M vs $0.5/M).

Completion Output Tokens
Mistral Devstral 2512$1.5 / 1M
Mistral Medium 3.5$0.8 / 1M

Output generation costs differ by 1.88x.

Context Caching Advantage
Mistral Devstral 2512$$0.12 / 1M
Mistral Medium 3.5$$0.04 / 1M

Prompt caching significantly reduces long-horizon AST parsing costs during multi-turn Swarm pairing sessions.

Swarm Multi-Agent Topology Synergy

How Swarm orchestrates Mistral Devstral 2512 and Mistral Medium 3.5 in autonomous engineering clusters.

⚡

Optimal Cluster Configuration

Deploy Mistral Devstral 2512 as Primary Planner / Orchestrator, with Mistral Medium 3.5 as high-throughput Coder subagent.

Tier 2

Mistral Devstral 2512

High-accuracy code synthesis specifically tuned for autonomous test loops and multi-file patches.

Worktree Isolation: Executes isolated feature work inside dedicated worktrees with full Git isolation.
Tier 3

Mistral Medium 3.5

Executes compliance checks and documentation tasks inside EU boundaries.

Worktree Isolation: Performs audit passes cleanly without leaking sensitive code outside local bounds.

When to Choose Which Model

Practical developer recommendations based on real-world engineering workloads.

Choose Mistral Devstral 2512 if:

  • ✓59.2% on SWE-bench Verified
  • ✓Strong compliance with unified diff and git patch conventions
  • ✓Reliable tool execution without syntax errors
  • ✓Need Coder Subagent specialization inside Swarm.

Choose Mistral Medium 3.5 if:

  • ✓Full EU data sovereignty and strict compliance guarantees
  • ✓Balanced 90 TPS throughput and affordable pricing
  • ✓Clean instruction adherence and documentation extraction
  • ✓Need Finder Subagent specialization inside Swarm.

Frequently Asked Comparison Questions

Which model is better for autonomous software engineering: Mistral Devstral 2512 or Mistral Medium 3.5?

For autonomous agentic coding where multi-file patch pass rate is paramount, Mistral Devstral 2512 holds the verified advantage (+14.2% advantage). Mistral Medium 3.5 is 2.5x cheaper on input tokens ($0.2/M vs $0.5/M). In Swarm multi-agent clusters, Deploy Mistral Devstral 2512 as Primary Planner / Orchestrator, with Mistral Medium 3.5 as high-throughput Coder subagent. On SWE-bench Verified, Mistral Devstral 2512 scores 59.2% vs Mistral Medium 3.5 at 45%.

How do Mistral Devstral 2512 and Mistral Medium 3.5 compare on token pricing and operational economics?

Mistral Medium 3.5 is 2.5x cheaper on input tokens ($0.2/M vs $0.5/M). On cached prompts, Mistral Devstral 2512 costs $0.12/M vs Mistral Medium 3.5 at $0.04/M.

How does Swarm configure Mistral Devstral 2512 and Mistral Medium 3.5 in multi-agent workflows?

Deploy Mistral Devstral 2512 as Primary Planner / Orchestrator, with Mistral Medium 3.5 as high-throughput Coder subagent. Swarm isolates code modifications in independent Git worktrees, allowing both models to operate in parallel without colliding working directories or git branch conflicts.

← Back to Technical Comparisons HubExplore Models Catalog (650+ Models) →