API cost decision in 10 seconds

Relace Search vs Mistral Large 3 2512

Pick Mistral Large 3 2512 when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mistral Large 3 2512 when budget and context both matter.

On the standard 1M input plus 500K output workload, Mistral Large 3 2512 is estimated at $1.25 vs $2.5 for Relace Search, saving $1.25 (50% lower).

Cost-first pickMistral Large 3 2512
Context-first pickMistral Large 3 2512
Sample savings$1.2550%
10x traffic gap$12.5

Mistral Large 3 2512 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $12.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Mistral Large 3 2512 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickRelace SearchMistral Large 3 2512
Input-heavy / RAG5M input + 500K outputMistral Large 3 2512$6.5$3.25
Balanced workload1M input + 1M outputMistral Large 3 2512$4$2
Output-heavy chatbot1M input + 5M outputMistral Large 3 2512$16$8
Cheaper input Mistral Large 3 2512 $1 vs $0.5 / 1M

Mistral Large 3 2512 is $0.5 cheaper per 1M input tokens (50% lower; 2x difference).

Cheaper output Mistral Large 3 2512 $3 vs $1.5 / 1M

Mistral Large 3 2512 is $1.5 cheaper per 1M output tokens (50% lower; 2x difference).

Larger context Mistral Large 3 2512 256K vs 262.14K

Mistral Large 3 2512 has 6.14K more context (1.02x larger).

Sample workload Mistral Large 3 2512 $2.5 vs $1.25

Mistral Large 3 2512 is $1.25 cheaper on the standard workload (50% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Relace Search Calculating… Estimated API cost
Mistral Large 3 2512 Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Mistral Large 3 2512 has the lower input price; Mistral Large 3 2512 has the lower output price; Mistral Large 3 2512 offers the larger context window. For the 1M input plus 500K output sample, Mistral Large 3 2512 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.5 for Relace Search and $1.25 for Mistral Large 3 2512.

Best Fit

Choose Relace Search when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Mistral Large 3 2512 when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Mistral Large 3 2512 is estimated at $1.25 vs $2.5 for Relace Search, saving $1.25 (50% lower).
  • Mistral Large 3 2512 is $1.25 cheaper on the standard workload (50% lower).
  • Mistral Large 3 2512 is $0.5 cheaper per 1M input tokens (50% lower; 2x difference).
  • Mistral Large 3 2512 is $1.5 cheaper per 1M output tokens (50% lower; 2x difference).
  • Mistral Large 3 2512 has 6.14K more context (1.02x larger).
Head-to-Head Specs
FeatureRelace Search
(Relace)
Mistral Large 3 2512
(Mistral)
Input Price
prompt tokens per 1M
$1$0.5
Completion Price
per 1M tokens
$3$1.5
Sample Workload Cost
1M input + 500K output
$2.5$1.25
Context Window256K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMistral Large 3 2512On the standard 1M input plus 500K output workload, Mistral Large 3 2512 is estimated at $1.25 vs $2.5 for Relace Search, saving $1.25 (50% lower).
High-volume input processingMistral Large 3 2512Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMistral Large 3 2512Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMistral Large 3 2512A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Relace Apply 3 can replace Relace Search when lower sample workload cost matters most: $1.48.
  • Mistral Nemo can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.04.
  • Mistral Small 3 can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.09.
  • Ministral 3 3B 2512 can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.15.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Relace catalog

Review all tracked Relace models before deciding whether this matchup is the right shortlist.

Open Relace models

Mistral catalog

Check other Mistral models with comparable pricing, context, or release timing.

Open Mistral models
Relace Search

The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic...

Mistral Large 3 2512

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.