text model comparison
Hy4 vs Mistral Large 4
Hy4 and Mistral Large 4 are both current text models, from Tencent and Mistral AI. Mistral Large 4 is 16% cheaper per 1M input tokens than Hy4, $0.70 vs $0.834.
- Lower price per 1M input tokens
- Mistral Large 4$0.70 against $0.834
- Newer release
- Hy4Nov 2026 against Oct 2026
Data verified November 5, 2026 · Dataset 2026-11-05
Side by side
Hy4 and Mistral Large 4, line by line
Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.
| Fact | Hy4 | Mistral Large 4 |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $0.834 | $0.70 (better) |
| Price per 1M output tokens | $2.501 | $2.10 (better) |
| Independent benchmarks | ||
| Arena Text | Not measured | 1432 Elo (#41 of 52) |
| Arena WebDev | Not measured | 1544 Elo (#33 of 46) |
| GPQA Diamond | Not measured | 90.2% (#28 of 41) |
| SimpleQA Verified | Not measured | 22.4% (#36 of 38) |
| Specs | ||
| Provider | Tencent | Mistral AI |
| Release date | November 4, 2026 | October 6, 2026 |
| Access | API only | API and open weights |
| Context window | Not reported | 1,000,000 tokens |
| Max output | Not reported | Not reported |
| Input | text, image | text, image |
| Output | text | text |
No independent benchmark has scored both models yet. Each rank counts the current models scored on that benchmark.
Charts
Against every current text model
Where Hy4 and Mistral Large 4 land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
Only Mistral Large 4 has a current Arena Text score: #41 of 52. Each bar is the share of current models it beats.
Independent benchmarks
Arena Text
Hy4: Not scored
Mistral Large 4:#41of 52
1,432 Elo · ahead of 22%
Arena WebDev
Hy4: Not scored
Mistral Large 4:#33of 46
1,544 Elo · ahead of 29%
GPQA Diamond
Hy4: Not scored
Mistral Large 4:#28of 41
90.2% · ahead of 30%
SimpleQA Verified
Hy4: Not scored
Mistral Large 4:#36of 38
22.4% · ahead of 5%
Price and context
Price per 1M input tokens
Hy4:#21of 55
$0.834 · cheaper than 63%
Mistral Large 4:#19of 55
$0.70 · cheaper than 67%
Price per 1M output tokens
Hy4:#20of 55
$2.501 · cheaper than 65%
Mistral Large 4:#16of 55
$2.10 · cheaper than 72%
Context window
Hy4: Not listed
Mistral Large 4:#26of 64
1M tokens · longer than 22%
Quality against price
Mistral Large 4 scores 1,432 at $1.05 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.
Quality against price: the data
| Model | Provider | Blended price per 1M tokens | Arena Text (Elo) |
|---|---|---|---|
| Gemini 4 Carbon | $4 | 1,528 | |
| Gemini 4 Argon | $4 | 1,520 | |
| Claude Opus 5.5 | Anthropic | $8 | 1,509 |
| Muse Wonder | Meta | $8 | 1,507 |
| Claude Fable 5 | Anthropic | $20 | 1,504 |
| Claude Fable 5.1 | Anthropic | $20 | 1,504 |
| Gemini 3.8 Flash | $1.50 | 1,496 | |
| Muse Spark 1.3 | Meta | $2 | 1,495 |
| Claude Opus 5 | Anthropic | $10 | 1,492 |
| Kimi K3 | Moonshot Kimi | $6 | 1,488 |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| Gemini 3.6 Flash | $3 | 1,483 | |
| GPT-5.5 | OpenAI | $11 | 1,482 |
| Claude Opus 4.8 | Anthropic | $10 | 1,482 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,482 |
| GPT-6.1 Sol | OpenAI | $4 | 1,481 |
| GLM-5.3 | Z.ai | $2.15 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,477 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,477 |
| GPT-6 Astra | OpenAI | $20 | 1,476 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,476 |
| GPT-5.4 | OpenAI | $5.63 | 1,475 |
| Gemini 3 Flash Preview | $1.13 | 1,473 | |
| Grok 4.20 | xAI | $1.56 | 1,472 |
| GPT-5.6 Terra | OpenAI | $4.50 | 1,467 |
| Grok 4.5 | xAI | $3 | 1,465 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,465 |
| Claude Sonnet 5 | Anthropic | $4 | 1,462 |
| GPT-6 Sol | OpenAI | $4 | 1,458 |
| Gemini 3.5 Flash-Lite | $0.85 | 1,456 | |
| Grok 4.6 | xAI | $3 | 1,455 |
| GPT-5.6 Luna | OpenAI | $0.45 | 1,453 |
| MiMo-V2.6-Flash | Xiaomi MiMo | $0.18 | 1,448 |
| Step 5 Preview | StepFun | $1.43 | 1,448 |
| Grok 4.3 | xAI | $1.56 | 1,442 |
| GPT-6 Luna | OpenAI | $0.20 | 1,441 |
| Grok 4.7 | xAI | $3 | 1,441 |
| Mistral Large 4 | Mistral AI | $1.05 | 1,432 |
| Claude Haiku 5.5 | Anthropic | $0.20 | 1,425 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Solar Pro 4 | Upstage | $0.52 | 1,388 |
| GPT-4.1 mini | OpenAI | $0.70 | 1,383 |
| GPT-4.1 nano | OpenAI | $0.18 | 1,322 |
Cost
What each costs
Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.
The same work, priced
For 10M input and 2M output tokens, Hy4 costs 1.2 times as much as Mistral Large 4, at each provider's listed rates.
10M input and 2M output tokens
Hy4 costs 1.2× as much
- Hy4
- $13.34
- Mistral Large 4
- $11.20
The same, with 9M of the input tokens cached
Hy4 costs 1.1× as much
- Hy4
- $6.21
- Mistral Large 4
- $5.53
| Workload or rate | Hy4 | Mistral Large 4 |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $13.34 | $11.20 (better) |
| The same, with 9M of the input tokens cached | $6.21 | $5.53 (better) |
| Other listed rates | ||
| 1M input tokens, cached | $0.042 (better) | $0.07 |
Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.
Launch price $100, regular price $150
Verdict
When to choose each
Hy4
Where it leads
- Cheaper cached input, $0.042 vs $0.07 per 1M tokens
Best for
- Agents that work across terminals, desktop apps and browsers on a tight budget
- Finance and office work: research reports, spreadsheets and slides
Watch out for
- API only for now: Tencent says it will publish the weights and a system card later, and only Hy4 preview (August 2026, Apache 2.0) is open today
- In Tencent's own table it scores 44.4% on Terminal-Bench 4.0 against 66.8% for Kimi K3.1 Pro, and Tencent says a clear gap remains to top proprietary models on research-level math, long-horizon coding and hard visual questions
- Tencent publishes no context window or output limit for Hy4 (the preview card lists 1M tokens), and no independent benchmark score is recorded here yet
Mistral Large 4
Where it leads
- Lower input and output prices, $0.70 and $2.10 vs $0.834 and $2.501 per 1M tokens
- Open weights you can run yourself
Best for
- Self-hosted or European data-residency deployments that want a frontier-scale multimodal model
- Coding and security agents where open weights and a low API price both matter
Watch out for
- The API model is still labelled a public preview, and the open weights are a further-trained build of the October 6 preview
- Businesses that sell it as a hosted model service need a separate commercial licence from Mistral
- Running the open weights moves cost to your own GPUs, which the token rates here do not represent
- Epoch AI measured 22.4% on SimpleQA Verified for the open-weight build, low for its size, so check factual recall on your own questions
From benchmark to production
Building on Hy4 or Mistral Large 4?
Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.
AI Model Cost AuditLaunch price $100, regular price $150What the audit includes
FAQ
Hy4 vs Mistral Large 4 FAQ
Which is cheaper, Hy4 or Mistral Large 4?
Mistral Large 4 is 16% cheaper per 1M input tokens than Hy4, $0.70 vs $0.834. For 10M input and 2M output tokens, Hy4 costs $13.34 and Mistral Large 4 $11.20 at standard rates.
Which is cheaper with prompt caching, Hy4 or Mistral Large 4?
Hy4 charges $0.042 per 1M cached input tokens, 95% below its standard input rate, and Mistral Large 4 $0.07, 90% below. With 9M of 10M input tokens cached and 2M output tokens, Hy4 costs $6.21 and Mistral Large 4 $5.53.
Can I run Hy4 or Mistral Large 4 myself?
Mistral Large 4 is released as open weights you can run yourself; Hy4 is available through its provider's API only.
Further reading
More on Hy4 and Mistral Large 4
Related comparisons
- Claude Opus 5.5 vs Hy4
- Claude Haiku 5.5 vs Mistral Large 4
- DeepSeek-V4.1-Flash vs Hy4
- Claude Opus 5.5 vs Mistral Large 4
- Gemini 3.8 Flash vs Hy4
- Claude Opus 5 vs Mistral Large 4
- GLM-5.3-Flash vs Hy4
- Claude Sonnet 5.5 vs Mistral Large 4
- GLM-5.3 vs Hy4
- DeepSeek-V4-Pro vs Mistral Large 4
- GPT-6.1 Sol vs Hy4
- Gemini 3.6 Flash vs Mistral Large 4
Production evaluation
Choosing between Hy4 and Mistral Large 4?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty