Mistral Large 2
Mistral Commercial / Research LicenseDeveloped by Mistral AI · Released 2025-01-01
What are the token costs and operational benchmarks for Mistral Large 2?
Architectural Overview
Frontier foundation model developed by Mistral AI featuring Dense Transformer architecture.
Optimal Production Use Cases
European data-sovereign enterprise workflows, multilingual translation across European languages, and precise JSON tool execution.
Interactive Monthly Token Economics & ROI Forecaster
Model your expected production workload across prompt (input) and completion (output) tokens with prompt caching economics.
Estimated Monthly Spend
$2.00/1M in · $6.00/1M out
Prompt Cache: $0.500/1M read · $2.00/1M write
$0.10/1M in · $0.35/1M out
Prompt Cache: $0.020/1M read · $0.10/1M write
Head-to-Head Comparisons Involving Mistral Large 2
Mistral Large 2 vs Claude 3.5 Haiku
**Claude 3.5 Haiku offers superior cost-efficiency and speed without sacrificing frontier coding performance.** It is 60.0% cheaper on inputs ($0.80 vs. $2.00 per 1M tokens) and costs $4.00 vs. $6.00 for outputs. Furthermore, Claude provides a 190ms TTFT (330ms faster) while edging out Mistral Large 2 on SWE-bench (40.6% vs. 40.0%).
Mistral Large 2 vs Claude 3.5 Sonnet
**Claude 3.5 Sonnet dominates in capability and speed, while Mistral Large 2 provides superior cost efficiency.** Sonnet leads SWE-bench at 49.0% versus 40.0% and yields a faster 310ms TTFT (210ms lower latency). However, Mistral Large 2 is 33.3% cheaper on input ($2.00 vs. $3.00/1M) and costs $6.00 versus $15.00/1M for output tokens.
Mistral Large 2 vs Claude 3.7 Sonnet
**Claude 3.7 Sonnet delivers superior coding capability, while Mistral Large 2 offers significant cost and latency advantages.** Claude 3.7 dominates SWE-bench at 70.3% versus Mistral's 40.0%. However, Mistral Large 2 is 33.3% cheaper on inputs ($2.00 vs. $3.00/1M), cuts outputs ($6.00 vs. $15.00/1M), and responds 130ms faster with a 520ms TTFT.
Mistral Large 2 vs DeepSeek R1
**DeepSeek-R1 delivers superior coding capability at dramatically lower cost.** DeepSeek-R1 scores 52.0% on SWE-bench versus 40.0% for Mistral Large 2, while costing 72.5% less for inputs ($0.55 vs. $2.00/1M) and $2.19 vs. $6.00 for outputs. Conversely, Mistral Large 2 leads in responsiveness with a 520ms TTFT, 580ms faster than DeepSeek-R1.
Mistral Large 2 vs DeepSeek V3
**DeepSeek V3 delivers massive price-performance advantages over Mistral Large 2, highlighted by a 14.3x lower overall cost.** DeepSeek V3 is 93.0% cheaper for inputs ($0.14 vs. $2.00/1M) and outputs ($0.28 vs. $6.00/1M). It also delivers faster latency at 410ms TTFT (110ms faster) and leads coding benchmarks with 42.0% versus 40.0% on SWE-bench.
Mistral Large 2 vs DeepSeek-V4 Flash Vision Exp
**DeepSeek-V4 Flash Vision Exp decisively beats Mistral Large 2 on both cost and capability.** DeepSeek is 93.0% cheaper, pricing input tokens at $0.14 (versus $2.00) and output at $0.56 (versus $6.00) per 1M tokens. It responds faster with a 140ms TTFT (380ms advantage) while leading SWE-bench coding benchmarks at 64.2% versus 40.0%.
Mistral Large 2 vs Gemini 2.0 Flash
**Gemini 2.0 Flash provides unmatched cost efficiency and speed over Mistral Large 2.** It is 95.0% cheaper for input ($0.10 vs. $2.00 per 1M tokens) and output ($0.40 vs. $6.00). Gemini also responds faster with a 220ms TTFT (300ms advantage) while outperforming Mistral on SWE-bench coding benchmarks at 45.2% versus 40.0%.
Mistral Large 2 vs Gemini 2.5 Flash
**Gemini 2.5 Flash provides vastly superior economics and coding performance over Mistral Large 2.** Gemini is 85.0% cheaper for input ($0.30 vs. $2.00 per 1M) with lower output costs ($2.50 vs. $6.00). It also leads coding capability at 58.0% SWE-bench versus 40.0%, while delivering faster responsiveness at 110ms TTFT (410ms faster).
Mistral Large 2 vs Gemini 2.5 Pro
**Gemini 2.5 Pro dominates complex coding capability**, achieving 63.8% on SWE-bench versus Mistral Large 2's 40.0%. Gemini is 37.5% cheaper for inputs at $1.25/1M tokens, though Mistral offers cheaper outputs ($6.00 vs. $10.00/1M). However, Mistral Large 2 provides faster initial responsiveness with a 520ms TTFT, leading Gemini by 180ms.
Mistral Large 2 vs GLM-5.3-Flash
**GLM-5.3-Flash delivers superior performance at a fraction of the cost, making it the clear winner over Mistral Large 2.** It is 94.0% cheaper, pricing input tokens at $0.12 versus $2.00 and output at $0.40 versus $6.00 per 1M tokens. GLM-5.3-Flash also cuts latency by 430ms to 90ms TTFT while leading SWE-bench 52.8% to 40.0%.
Mistral Large 2 vs GLM-5.3
**GLM-5.3 significantly outperforms Mistral Large 2 across cost efficiency, latency, and coding performance.** GLM-5.3 is 82.5% cheaper on inputs ($0.35 vs. $2.00 per 1M) and 5.7x cheaper on outputs ($1.00 vs. $6.00). It also delivers faster 160ms TTFT (360ms lower latency) while leading SWE-bench coding benchmarks at 56.0% compared to 40.0%.
Mistral Large 2 vs GPT-4.5
**Mistral Large 2 delivers vastly superior cost efficiency and faster execution than GPT-4.5.** It is 97.3% cheaper at $2.00 input and $6.00 output per 1M tokens versus $75.00 and $150.00 (a 37.5x cost difference). Mistral Large 2 also achieves a 520ms TTFT (330ms faster
Mistral Large 2 vs GPT-4o Mini
**GPT-4o Mini delivers massive cost efficiency and speed advantages over Mistral Large 2.** It is 92.5% cheaper for inputs ($0.15 vs. $2.00 per 1M) and $0.60 vs. $6.00 for outputs. Additionally, GPT-4o Mini reduces TTFT latency to 220ms (300ms faster) while slightly outperforming Mistral Large 2 on SWE-bench coding benchmarks (41.0% vs. 40.0%).
Mistral Large 2 vs GPT-4o
**GPT-4o outperforms Mistral Large 2 in speed and capability, while Mistral Large 2 provides better cost efficiency.** Mistral Large 2 is 20.0% cheaper for input at $2.00 versus $2.50 per 1M tokens ($6.00 vs. $10.00 output). However, GPT-4o achieves a faster 280ms TTFT (240ms lower) and leads SWE-bench at 48.0% over 40.0%.
Mistral Large 2 vs Grok 3 Mini
**Grok 3 Mini dominates Mistral Large 2 with superior coding capability and drastically lower costs.** It is 85.0% cheaper for input tokens ($0.30 vs. $2.00 per 1M) and $1.20 vs. $6.00 for output. Additionally, Grok 3 Mini achieves a faster 150ms TTFT (370ms advantage) while outperforming on SWE-bench at 54.0% compared to Mistral Large 2's 40.0%.
Mistral Large 2 vs Grok 3
**Grok 3 delivers superior coding performance, but Mistral Large 2 provides unmatched cost efficiency.** Grok 3 dominates with 58.0% on SWE-bench versus 40.0%. Conversely, Mistral Large 2 is 33.3% cheaper for inputs ($2.00 vs. $3.00/1M), cuts output costs to $6.00 vs. $15.00, and clocks a faster 520ms TTFT (230ms advantage).
Mistral Large 2 vs Llama 3.3 70B Instruct
**Llama 3.3 70B Instruct delivers vastly superior economic value and speed over Mistral Large 2.** It is 94.0% cheaper for inputs ($0.12 vs. $2.00/1M tokens) and outputs ($0.30 vs. $6.00/1M). Additionally, Llama 3.3 responds faster with a 450ms TTFT (70ms lead) while outperforming in coding at 42.5% versus 40.0% SWE-bench.
Mistral Large 2 vs Mistral Large 2 (2411)
**Mistral Large 2 delivers superior coding performance and responsiveness at identical pricing.** At $2.00 per 1M input tokens for both models, Mistral Large 2 leads software engineering tasks with a 40.0% SWE-bench score versus 30.1% for Mistral Large 2 (2411). It also reduces latency, achieving a 520ms TTFT, exactly 60ms faster than 2411.
Mistral Large 2 vs o1
**Mistral Large 2 offers massive cost and latency advantages, while o1 delivers superior reasoning performance.** Mistral Large 2 is 86.7% cheaper on inputs ($2.00 vs. $15.00/1M) and $6.00 vs. $60.00 on outputs, while operating 2080ms faster at 520ms TTFT. Conversely, o1 leads software engineering benchmarks, scoring 48.9% on SWE-bench compared to Mistral’s 40.0%.
Mistral Large 2 vs OpenAI o3-mini
**OpenAI o3-mini delivers superior coding performance and substantial cost savings over Mistral Large 2.** It leads coding benchmarks at 49.3% SWE-bench versus 40.0% while cutting costs by 45.0% on inputs ($1.10 vs. $2.00/1M) and $4.40 vs. $6.00 for outputs. Conversely, Mistral Large 2 wins on speed with a 520ms TTFT, running 680ms faster.
Mistral Large 2 vs Qwen 3.8 27B
**Qwen 3.8 27B delivers superior capability at a 90.0% lower cost than Mistral Large 2.** Qwen costs just $0.20 input and $0.60 output per 1M tokens versus Mistral's $2.00 and $6.00. Furthermore, Qwen achieves a faster 120ms TTFT (a 400ms advantage) and leads coding with a 58.4% SWE-bench score over Mistral’s 40.0%.
Mistral Large 2 vs Qwen 3.8 Flash Next
**Qwen 3.8 Flash Next delivers superior coding performance at a fraction of the cost.** It is 95.0% cheaper on input tokens ($0.10 vs. $2.00/1M) and 20.0x cheaper on output ($0.35 vs. $6.00/1M). Qwen also dominates latency with a 95ms TTFT (425ms faster) while outperforming Mistral Large 2 on SWE-bench (61.0% vs. 40.0%).
Frequently Asked Questions & Query Fan-Out
How much does Mistral Large 2 cost per 1M tokens?
Mistral Large 2 costs $2.00 per million prompt (input) tokens and $6.00 per million completion (output) tokens.
What is the context window for Mistral Large 2?
Mistral Large 2 supports a maximum context window of 131,072 tokens, with a maximum single-generation output of 8,192 tokens.
What are the primary use cases for Mistral Large 2?
European data-sovereign enterprise workflows, multilingual translation across European languages, and precise JSON tool execution.