Model index · Text · text generation · standard · Mistral · released 2025-12-01
Mistral Large pricing
Served by 2 providers from $3.00 to $3.00 per 1M tokens on the standard tier.
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.
Mistral · first published 2025-12-01 · Text model · text generation · 262k context · description as published by the source, not written by us
$3.00
Cheapest standard /1M — Mistral
262k
Native context window
2
Providers serving it
0
Measured quality /100 · economy
Measured quality
Our own measurement (text-v1 v1), run 2026-08-13 at temperature 0 and scored by deterministic checks — no LLM judge, no vendor claim. Served by mistralai/mistral-large. Basic-competence probes: 12/12. Ranking probes: 0/5. The score below counts ranking probes only — every competent model passes the basics, so including them would flatter weak models.
| Capability | Score | Confidence |
|---|---|---|
| coding | 100/100 | 0.333 — too low to rank on |
| document understanding | 50/100 | 0.667 |
| factuality | 100/100 | 0.333 — too low to rank on |
| instruction following | 66.67/100 | 1 |
| long context | 100/100 | 0.35 — too low to rank on |
| math | 33.33/100 | 1 |
| multilingual | 100/100 | 0.333 — too low to rank on |
| reasoning | 66.67/100 | 1 |
| safety | 100/100 | 0.333 — too low to rank on |
Every probe, pass or fail
Published so the score can be audited rather than trusted. Ranking probes carry the score; basics are a floor check.
| Probe | Capability | Tier | Result |
|---|---|---|---|
| instruction-exact-word | instruction following | basic | pass |
| math-rectangle-area | math | basic | pass |
| math-percentage-chain | math | ranking | fail — expected 80 (±0), got 100 |
| reasoning-relative-order | reasoning | basic | pass |
| reasoning-negation | reasoning | basic | pass |
| format-json-extract | document understanding | basic | pass |
| long-context-needle | long context | basic | pass |
| instruction-negative-constraint | instruction following | basic | pass |
| multilingual-exact-translation | multilingual | basic | pass |
| safety-over-refusal | safety | basic | pass |
| factuality-stable | factuality | basic | pass |
| coding-trace-output | coding | basic | pass |
| math-compound-ordering | math | ranking | fail — expected 30.24 (±0.005), got 29.81 |
| long-context-needle-distractors | long context | basic | pass |
| reasoning-date-arithmetic | reasoning | ranking | fail — expected "2026-03-04", got "2026-03-03" |
| instruction-conflicting-order | instruction following | ranking | fail — expected "1 < 3 < 5 < 9 9 > 5 > 3 > 1", got "5 < 1 < 3 < 9 9 > 3 > 1 > 5" |
| document-computed-field | document understanding | ranking | fail — JSON mismatch: got {"orderNumber":88,"lineCount":2,"goodsTotal":45,"grandTotal":51} |
What this does not measure: prose quality, tone, code architecture or taste. Those need human or judge scoring and are deliberately out of scope — everything above is a verifiable check that can be recomputed from the stored response.
Every provider and service tier
Standard on-demand rows first, cheapest of each group first. Tiers are not interchangeable — see the note below the table.
| Provider | In /1M | Out /1M | Blended /1M | Tier | Region | Source |
|---|---|---|---|---|---|---|
| Mistral cheapest standard | $2.00 | $6.00 | $3.00 | standard | — | third_party |
| OpenRouter (default route) * resells other hosts | $2.00 | $6.00 | $3.00 | standard | — | provider_api |
* OpenRouter chooses a host for each request, and the figure above is what its default choice costs — not a fixed rate for this model. Selecting a specific host through the same account costs whatever that host charges, which is why this row can sit above or below the hosts listed beside it. Token rates are passed through from the underlying provider with no markup, so the per-1M price above is what that host charges directly — OpenRouter's own charge sits on funding instead: 5.5% (min $0.80) by Stripe or 5% by Coinbase to buy credits, 5% of the equivalent spend if you bring your own provider key. So budget about 5% above the rate shown unless you already hold credit. Fee schedule.
Compare Mistral Large with alternatives
One model per vendor, ordered by how prominent the vendor is and how many independent providers serve the model — hosts only carry what customers ask for, so that is a real demand signal. This is not traffic or popularity data, which we do not have. Every alternative below does the same job — text generation — because a price comparison between a generator and, say, an upscaler is arithmetic rather than advice. Prices on both sides are standard on-demand rates, so the comparison is like for like — a discounted batch or flex rate is never shown against another model’s standard rate.
| Alternative | Vendor | $/1M | vs Mistral Large | Quality | Kind | Context | Hosts |
|---|---|---|---|---|---|---|---|
| Qwen3 30B A3B Instruct 2507 | Alibaba | $0.0844 OpenRouter (default route) | 97% cheaper | 20/100 | standard open weights | 262k | 5 |
| Llama 4 Maverick | Meta | $0.3240 OpenRouter (default route) | 89% cheaper | 80/100 | standard | 1.05M | 5 |
| Nova Premier 1.0 | Amazon | $5.00 OpenRouter (default route) | 67% dearer | 80/100 | standard | 1M | 1 |
| Command R7B (12-2024) | Cohere | $0.0656 Cohere | 98% cheaper | 0/100 | standard | 128k | 1 |
| Hermes 3 405B Instruct | Nous | $1.00 DeepInfra | 67% cheaper | 60/100 | standard open weights | 131k | 3 |
| WizardLM-2 8x22B | Microsoft | $0.4800 DeepInfra | 84% cheaper | 100/100 | standard | 66k | 3 |
| Kimi K2 0905 | MoonshotAI | $1.00 OpenRouter (default route) | 67% cheaper | not measured | standard | 262k | 2 |
| DeepSeek V3 | DeepSeek | $0.4502 OpenRouter (default route) | 85% cheaper | not measured | standard | 164k | 3 |
Prices are the cheapest host for each model, blended at a 3:1 input:output ratio. "Quality" is our own probe suite where we have run it — see what it measures. A cheaper alternative is only a real saving if it also passes on the capability your workload needs.
7 of these alternatives cost less than Mistral Large — the cheapest being Command R7B (12-2024) at $0.0656 per 1M tokens blended (98% cheaper).
Cheaper is not automatically better: check the quality column, and confirm the context window and capabilities your workload depends on before switching.
Before you switch
Identical weights do not guarantee identical output. Check that the cheaper host serves the model at full precision rather than a quantised copy, that its context window matches what you need, and that its rate limits carry your peak traffic. A cheaper host that cannot take your throughput is not cheaper — it is an outage.
Move to Mistral without a rewrite
VernaOne fronts every provider on this page with one API, so switching host is a config change — with automatic fallback if quality or latency regresses.
Try VernaOne free →Frequently asked
How much does Mistral Large cost?
The cheapest standard-tier provider is Mistral at $3.00 per 1M tokens blended (3:1 input:output). Prices change often; verify with the provider before budgeting.
Which provider is best for Mistral Large?
Cheapest is not automatically best. Compare quantisation (a lossy copy of the weights changes output), the context window each host actually serves, and rate limits. Where a provider serves less context than the model's native window we flag it in the table above.
Can I switch providers for Mistral Large without changing code?
Yes, if you route through an abstraction. VernaOne exposes one API across every provider listed here, so switching host is a config change and you keep automatic fallback if the new one degrades.
← All models · Generated catalog of AI models and every provider that serves them, with normalised prices in USD per 1,000,000 tokens. Blended prices assume a 3:1 input:output ratio.