Claude Sonnet 5 vs Mistral Large 3 2512
AnthropicMistral AIboth via one key, provider price + 3%
Claude Sonnet 5 (Anthropic, released 2026-06-30) and Mistral Large 3 2512 (Mistral, released 2025-12-01) sit at opposite ends of the price-to-capability curve. Sonnet 5 is Anthropic's frontier Sonnet-class model with selectable reasoning effort; Mistral Large 3 2512 is a 675B-parameter sparse mixture-of-experts model (41B active) released under Apache 2.0. The gap in both price and benchmark scores is large enough that the choice usually resolves fast once you know your workload.
Spec vs spec
| Spec | Claude Sonnet 5 | Mistral Large 3 2512 |
|---|---|---|
| Context window | 1M | 262K |
| Max output | 128K | — |
| Input modalities | text, image, file | text, image, file |
| Output modalities | text | text |
| Released | Jun 30, 2026 | Dec 1, 2025 |
| Reasoning | optional | — |
Pricing
Per 1M tokens. Provider price plus the flat 3% fee — the sum is what you pay.
anthropic/claude-sonnet-5
Input · 1M tokens
$2.00 + 3%$2.06
Output · 1M tokens
$10.00 + 3%$10.30
Cache read · 1M tokens
$0.200 + 3%$0.206
Cache write · 1M tokens
$2.50 + 3%$2.58
FEE — FLAT, EVERY MODEL3%
mistralai/mistral-large-2512
Input · 1M tokens
$0.500 + 3%$0.515
Output · 1M tokens
$1.50 + 3%$1.54
Cache read · 1M tokens
$0.050 + 3%$0.052
FEE — FLAT, EVERY MODEL3%
One workload, priced on both
10M input + 2M output tokens at each model's price, flat 3% fee included.
anthropic/claude-sonnet-5
$41.20
$40.00 provider + 3%
mistralai/mistral-large-2512Cheaper
$8.24
$8.00 provider + 3%
Pricing math
Provider list price: Sonnet 5 runs $2.00/M input and $10.00/M output; Mistral Large 3 2512 runs $0.50/M input and $1.50/M output. On OpenKey, add the flat 3% fee: Sonnet 5 becomes $2.06/M input and $10.30/M output ($2.00 × 1.03, $10.00 × 1.03); Mistral Large 3 2512 becomes $0.515/M input and $1.545/M output ($0.50 × 1.03, $1.50 × 1.03). For a 10M-input/2M-output workload, that's **$40.00** for Sonnet 5 vs **$8.00** for Mistral Large 3 2512 — a 4x input-price ratio and a 5x total-cost gap on this workload. Both models are billed on OpenKey with the same key and the same flat 3% fee on top of provider list price.
Coding and agentic performance
This is where the two models separate. Sonnet 5 posts a coding_index of 71.5 and an agentic_index of 46.7 on artificial_analysis; Mistral Large 3 2512 posts 20.1 and 5.5 respectively — roughly 3.5x and 8.5x behind. Sonnet 5's intelligence_index (53.4) is also more than 3x Mistral's (15.9). Mistral Large 3 2512 does have Design Arena data across eight categories (3d, asciiart, codecategories, dataviz, gamedev, svg, uicomponent, website), with its best rank at 43rd (asciiart, elo 1115) and weakest at 65th (gamedev, elo 1146). Sonnet 5 has no Design Arena entries in this dataset, so use the artificial_analysis numbers as the primary signal for agent and coding work.
Context and output limits
Sonnet 5 supports a 1,000,000-token context window and caps output at 128,000 tokens. Mistral Large 3 2512 supports 262,144 tokens of context with no listed max completion cap in this data. That's a 3.81x context advantage for Sonnet 5 — relevant if you're processing long documents, large codebases, or multi-file diffs in a single call. For most single-document or chat workloads under 262K tokens, both windows are more than enough and the choice comes back to cost and capability.
Modality and tooling
Both models accept text, image, and file input and return text output — no difference there. Sonnet 5 supports reasoning controls (`reasoning`, `include_reasoning`, `verbosity`) with five effort levels (low, medium, high, xhigh, max, default medium), useful for tuning cost against depth on a per-call basis. Mistral Large 3 2512 has no reasoning parameter but supports `temperature`, `top_p`, `frequency_penalty`, `presence_penalty`, and `seed` — standard sampling controls suited to deterministic, high-throughput use rather than adaptive reasoning.
Which model for which job
| Use case | Pick | Why |
|---|---|---|
| Coding agents / autonomous dev tasks | Claude Sonnet 5 | Agentic index of 46.7 vs 5.5 for Mistral Large 3 2512. |
| High-volume, cost-sensitive batch jobs | Mistral Large 3 2512 | $8.00 vs $40.00 on a 10M-in/2M-out workload. |
| Long-document analysis (200K+ tokens) | Claude Sonnet 5 | 1M-token context vs 262,144 for Mistral Large 3 2512. |
| Open-weight / self-hostable requirements | Mistral Large 3 2512 | Apache 2.0 license, 675B total / 41B active MoE. |
| Variable-depth reasoning per request | Claude Sonnet 5 | Selectable reasoning effort (low to max) via the reasoning parameter. |
| General coding benchmarks | Claude Sonnet 5 | Coding index of 71.5 vs 20.1. |
Questions
- How much more does Claude Sonnet 5 cost than Mistral Large 3 2512?
- On OpenKey, Sonnet 5 is $2.06/M input and $10.30/M output; Mistral Large 3 2512 is $0.515/M input and $1.545/M output. That's a 4x input-price ratio. On a 10M-input/2M-output workload, Sonnet 5 costs $40.00 versus $8.00 for Mistral Large 3 2512.
- Which model has a bigger context window?
- Claude Sonnet 5 supports 1,000,000 tokens of context; Mistral Large 3 2512 supports 262,144 tokens — a 3.81x ratio in Sonnet 5's favor. Sonnet 5 also caps output at 128,000 tokens, while Mistral Large 3 2512 has no listed max completion cap.
- Is Mistral Large 3 2512 competitive on coding tasks?
- Not on these numbers. It scores 20.1 on the artificial_analysis coding index versus 71.5 for Claude Sonnet 5, and 5.5 vs 46.7 on the agentic index — roughly a 3.5x and 8.5x gap respectively.
- Can I use both models through the same API key?
- Yes — both are available on OpenKey with one key across all 329 models, billed at provider list price plus a flat 3% fee (e.g., Sonnet 5's $2.00 provider input price becomes $2.06 on OpenKey).