A bargain multilingual model built for Arabic and South Asian languages, but too constrained for demanding workloads.
42
Coding
68
Writing
55
Research
0
Images
88
Value
28
Long Context
Use this when
Low-cost multilingual applications requiring Arabic, Hindi, or Urdu language support
Skip this if
You need long document processing, complex reasoning, or multimodal capabilities — the 32K context and text-only design will bottleneck your use case.
Pricing
$0.20/1M in
$0.60/1M out
→0%since May 2026
Context
33k tokens
Speed
Fast
Pricing reflects Mistral API rates and may vary by reseller. The model's name 'Saba' references Arabic linguistic heritage, signaling its intended multilingual focus. No vision or tool-use capabilities documented at launch.
Exceptional cost efficiency at ~$0.20/1M input tokens, undercutting most competitors
Strong performance on Arabic and South Asian language tasks relative to its price tier
Fast inference suitable for real-time or high-volume applications
Solid general instruction-following for everyday text generation tasks
Weaknesses
32K context window is restrictive compared to Gemini 3.1 Flash (1M) or Claude Haiku 3.5 (200K)
Limited reasoning depth makes it unsuitable for complex multi-step analysis
No multimodal capabilities — text only
Real-world use cases
What people actually use Saba for.
Translating customer support tickets between English and Arabic at scale
Generating Hindi-language product descriptions for e-commerce catalogs
Summarizing short news articles in Urdu for a mobile news app
How Saba compares
The nearest models people weigh against it, and what actually separates them.
vs Mistral Large 3 2512 — Against Mistral Large 3 2512 (Mistral), Saba runs about 60% cheaper per token, gives up 8x on context and answers faster. Take Saba unless you specifically need what Mistral Large 3 2512 does better.
vs Mistral Medium 3 — Against Mistral Medium 3 (Mistral), Saba runs about 67% cheaper per token and gives up 4x on context. Take Saba unless you specifically need what Mistral Medium 3 does better.
vs Mistral Medium 3.1 — Against Mistral Medium 3.1 (Mistral), Saba runs about 67% cheaper per token and gives up 4x on context. Take Saba unless you specifically need what Mistral Medium 3.1 does better.
Price History
Saba pricing over time
→0% since May 31
90 data points · tracked daily since May 31, 2026
Ready to try it?
Start using Saba
Low-cost multilingual applications requiring Arabic, Hindi, or Urdu language support. Start free — no card required.
Mistral Large 3 2512 is Mistral's flagship dense model updated in December 2025, offering strong multilingual reasoning and coding capabilities at a significantly reduced price point compared to its predecessor. It targets enterprise workloads that need high-quality outputs without paying top-tier frontier model prices.
Verdict
The best price-per-quality ratio in the non-mini flagship tier, especially for multilingual and long-context enterprise tasks.
Quality score
69%
Pricing
$0.50/1M in
$1.50/1M out
Speed
Balanced
3/5 speed
Context
262k tokens
Pricing of $0.50 input / $1.50 output per 1M tokens places it firmly in the budget-flagship category. Available via Mistral API (La Plateforme) and major cloud providers. December 2025 update ('2512') improves instruction following over the earlier 2407 release.
Multilingual enterprise tasks, code generation, and long-document analysis where cost efficiency matters more than absolute state-of-the-art performance.
Mistral Medium 3 is a mid-tier model from Mistral AI that punches above its weight class, officially superseding Mistral Large 2 while costing a fraction of the price. It targets teams needing capable multilingual and coding performance without flagship-level spend.
Verdict
The most capable budget model Mistral has shipped — a smart default for high-volume teams that need real performance without flagship pricing.
Quality score
67%
Pricing
$0.40/1M in
$2.00/1M out
Speed
Fast
4/5 speed
Context
131k tokens
Priced at $0.40 input / $2.00 output per 1M tokens. Officially supersedes Mistral Large 2, making it an easy drop-in upgrade for existing Mistral users. Available via Mistral's API and La Plateforme.
BudgetMultilingualCodingHigh VolumeMid-Tier
Best for
Cost-conscious teams running high-volume coding, summarization, or multilingual tasks at enterprise scale.
Mistral Medium 3.1 is a multimodal mid-tier model from Mistral that supersedes Mistral Large 2, offering vision capabilities alongside strong text performance at a significantly reduced price point. It targets the sweet spot between budget models and expensive flagships, with a 128K context window and competitive multilingual support.
Verdict
The best Mistral model for budget-conscious builders who still need multimodal capability and solid multilingual output.
Quality score
70%
Pricing
$0.40/1M in
$2.00/1M out
Speed
Fast
4/5 speed
Context
131k tokens
Officially supersedes Mistral Large 2, representing a generational shift in Mistral's lineup toward multimodal capability at lower cost tiers. Available via Mistral API and select cloud providers. No function calling limitations noted at this tier.
BudgetMultimodalMultilingualMid-tierVision
Best for
Cost-sensitive teams needing solid coding, instruction-following, and basic vision tasks without paying flagship prices.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Mistral: Saba — added to UseRightAI
Mistral: Saba (Mistral) is now indexed. A bargain multilingual model built for Arabic and South Asian languages, but too constrained for demanding workloads.
Saba costs $0.19999999999999998 per million input tokens and $0.6 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $3.20 at list price, before any batch or caching discounts.
What is Saba best for?
Saba is best for low-cost multilingual applications requiring arabic, hindi, or urdu language support. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and fast speed.
When should I avoid Saba?
You need long document processing, complex reasoning, or multimodal capabilities — the 32K context and text-only design will bottleneck your use case.
What is a cheaper alternative to Saba?
Claude Opus 4.5 (Anthropic) at $5.00/1M/1M input against Saba's $0.20/1M/1M. Anthropic's most capable model delivers best-in-class reasoning and writing quality, but the steep output cost demands genuinely complex use cases to justify it. Compare it first if Saba's pricing is the thing stopping you.
What is a faster alternative to Saba?
Mistral Large 3 2512 — balanced against Saba's fast, with 262k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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