Devstral 2 2512 vs Grok 4
Grok 4 edges out Devstral 2 2512 on benchmarks where reasoning depth matters most — strategic analysis (5 vs 4), faithfulness (5 vs 4), classification (4 vs 3), safety calibration (2 vs 1), and persona consistency (5 vs 4). Devstral 2 2512 fights back on structured output (5 vs 4), constrained rewriting (5 vs 4), creative problem solving (4 vs 3), and agentic planning (4 vs 3), making it the stronger choice for agentic coding pipelines. At $2/M output tokens versus Grok 4's $15/M, Devstral 2 2512 delivers competitive performance at roughly one-seventh the output cost — a gap that dominates the decision for any high-volume use case.
mistral
Devstral 2 2512
Benchmark Scores
External Benchmarks
Pricing
Input
$0.400/MTok
Output
$2.00/MTok
modelpicker.net
xai
Grok 4
Benchmark Scores
External Benchmarks
Pricing
Input
$3.00/MTok
Output
$15.00/MTok
modelpicker.net
Benchmark Analysis
Across our 12-test suite, Grok 4 wins 5 benchmarks, Devstral 2 2512 wins 4, and 3 are tied.
Where Grok 4 leads:
- Strategic analysis: Grok 4 scores 5/5 (tied for 1st among 54 models with 25 others) vs Devstral 2 2512's 4/5 (rank 27 of 54). For nuanced tradeoff reasoning with real numbers, Grok 4 is the stronger pick.
- Faithfulness: Grok 4 scores 5/5 (tied for 1st among 55 models with 32 others) vs Devstral 2 2512's 4/5 (rank 34 of 55). If staying tightly grounded in source material matters — summarization, document Q&A — Grok 4 hallucinates less in our tests.
- Classification: Grok 4 scores 4/5 (tied for 1st among 53 models with 29 others) vs Devstral 2 2512's 3/5 (rank 31 of 53). A full point gap here matters for routing and categorization tasks.
- Safety calibration: Grok 4 scores 2/5 (rank 12 of 55) vs Devstral 2 2512's 1/5 (rank 32 of 55). Both are below the median (p50 = 2), but Devstral 2 2512's score of 1 places it in the bottom tier on this dimension.
- Persona consistency: Grok 4 scores 5/5 (tied for 1st among 53 models with 36 others) vs Devstral 2 2512's 4/5 (rank 38 of 53). Relevant for chatbot or role-playing applications requiring stable character.
Where Devstral 2 2512 leads:
- Structured output: Devstral 2 2512 scores 5/5 (tied for 1st among 54 models with 24 others) vs Grok 4's 4/5 (rank 26 of 54). More reliable JSON schema compliance in our tests — important for any pipeline parsing model output programmatically.
- Constrained rewriting: Devstral 2 2512 scores 5/5 (tied for 1st among 53 models with 4 others) vs Grok 4's 4/5 (rank 6 of 53). Devstral 2 2512 is among the very best at compressing content within hard character limits.
- Creative problem solving: Devstral 2 2512 scores 4/5 (rank 9 of 54 with 20 others) vs Grok 4's 3/5 (rank 30 of 54). A meaningful gap for brainstorming and generating non-obvious ideas.
- Agentic planning: Devstral 2 2512 scores 4/5 (rank 16 of 54 with 25 others) vs Grok 4's 3/5 (rank 42 of 54). This is the most practically significant gap. Grok 4 ranks near the bottom third of tested models on goal decomposition and failure recovery — a serious limitation for autonomous coding agents.
Ties (both score equally):
- Tool calling: Both score 4/5 (rank 18 of 54, 29 models share this score). Equivalent on function selection and argument accuracy.
- Long context: Both score 5/5 (tied for 1st among 55 models with 36 others). Both handle 30K+ token retrieval well.
- Multilingual: Both score 5/5 (tied for 1st among 55 models with 34 others). Equivalent non-English quality.
Pricing Analysis
Devstral 2 2512 costs $0.40/M input and $2/M output tokens. Grok 4 costs $3/M input and $15/M output tokens — 7.5x more expensive on input and 7.5x more on output. In practice: at 1M output tokens/month, you pay $2 vs $15. At 10M tokens/month, that's $20 vs $150. At 100M tokens/month, the gap becomes $200 vs $1,500 — a $1,300/month difference on output alone. Grok 4 also uses reasoning tokens (flagged in the payload), which can inflate actual token consumption beyond what prompt length suggests, pushing real-world costs even higher. Developers running agentic pipelines with high tool-call volumes will feel this most acutely. The cost difference only makes sense to absorb if Grok 4's advantages in strategic analysis, faithfulness, and persona consistency are directly load-bearing for your application.
Real-World Cost Comparison
Bottom Line
Choose Devstral 2 2512 if you are building agentic coding pipelines, need reliable structured JSON output, or are running high token volumes where cost matters. Its 4/5 on agentic planning (vs Grok 4's 3/5 ranking 42nd of 54), 5/5 on structured output, and $2/M output cost make it the clear pick for coding automation, CI/CD integration, and any workflow that processes model output programmatically. Also choose it if budget is a hard constraint — at 100M tokens/month, it saves roughly $1,300 on output alone.
Choose Grok 4 if your application centers on strategic analysis, document faithfulness, classification and routing, or maintaining consistent AI personas. Its 5/5 on strategic analysis (tied for 1st), 5/5 on faithfulness, and 4/5 on classification outperform Devstral 2 2512 on those dimensions. Grok 4 also supports image and file inputs (text+image+file->text modality) — a capability not present in Devstral 2 2512's text->text modality — making it the only option when multimodal input is required. Be aware that Grok 4 uses reasoning tokens, which can inflate costs beyond base pricing.
How We Test
We test every model against our 12-benchmark suite covering tool calling, agentic planning, creative problem solving, safety calibration, and more. Each test is scored 1–5 by an LLM judge. Read our full methodology.