text model comparison
DeepSeek-V4.1-Flash vs ERNIE 5.5 Flash Preview
DeepSeek-V4.1-Flash and ERNIE 5.5 Flash Preview are both current text models, from DeepSeek and Baidu. ERNIE 5.5 Flash Preview is 7% cheaper per 1M input tokens than DeepSeek-V4.1-Flash, $0.28 vs $0.30. In Baidu's ERNIE 5.5 Flash Preview launch table, DeepSeek-V4.1-Flash scores 40.9% on Terminal-Bench 4.0 and ERNIE 5.5 Flash Preview 46.5%. Both accept 1,000,000 tokens of context.
- Lower price per 1M input tokens
- ERNIE 5.5 Flash Preview$0.28 against $0.30
- Newer release
- ERNIE 5.5 Flash PreviewNov 2026 against Sep 2026
Data verified November 11, 2026 · Dataset 2026-11-11
Side by side
DeepSeek-V4.1-Flash and ERNIE 5.5 Flash Preview, 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 | DeepSeek-V4.1-Flash | ERNIE 5.5 Flash Preview |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $0.30 | $0.28 (better) |
| Price per 1M output tokens | $1.20 | $1.13 (better) |
| Independent benchmarks | ||
| Arena Text | 1475 Elo (#16 of 48) | Not measured |
| Arena WebDev | 1664 Elo (#12 of 44) | Not measured |
| GPQA Diamond | 93.2% (#18 of 40) | Not measured |
| FrontierMath Tiers 1-3 (v2) | 71.2% (#22 of 39) | Not measured |
| SimpleQA Verified | 42.5% (#26 of 36) | Not measured |
| Specs | ||
| Provider | DeepSeek | Baidu |
| Release date | September 10, 2026 | November 11, 2026 |
| Access | API and open weights | API only |
| Context window | 1,000,000 tokens | 1,000,000 tokens |
| Max output | 384,000 tokens | 1,000,000 tokens |
| Input | text, image | text |
| Output | text | text |
No independent benchmark has scored both models yet. Each rank counts the current models scored on that benchmark.
Provider results
What the labs report
Results tables a lab published with one of its models, where it lists both DeepSeek-V4.1-Flash and ERNIE 5.5 Flash Preview. These are the lab's own figures, not independent measurements, and each table is read on its own: labs run benchmarks with different harnesses and budgets.
Baidu, ERNIE 5.5 Flash Preview launch table, November 11, 2026Baidu · 2026-11-11
| Benchmark | DeepSeek-V4.1-Flash | ERNIE 5.5 Flash Preview |
|---|---|---|
| Terminal-Bench 4.0 | 40.9% | 46.5% (better) |
| DeepSWE v1.1 | 77.0% (better) | 71.2% |
| ProgramBenchalmost solved | 27.5% | 29.5% (better) |
| NL2Repo | 62.7% | 64.8% (better) |
| Terminal-Bench-Science 0.1 | 14.3% | 21.0% (better) |
| CookieBench | 87.9% | 88.2% (better) |
| BlenderWorldtext-only subset | 79.2% (better) | 79.0% |
| AutomationBench v1.0.6open-sourced subset | 57.2% | 61.9% (better) |
| APEX-Agents v1.1 | 43.9% | 64.2% (better) |
| DRACO | 83.6% | 84.9% (better) |
| SpreadsheetBench 2 | 34.7% | 36.4% (better) |
| OfficeQA Pro v2 | 63.4% | 67.9% (better) |
| Agents' Last Examcommand-line tasks | 35.2% (better) | 29.0% |
| SkillsBench v1.1text-only subset | 67.5% | 73.5% (better) |
| Toolathlon-Verified | 71.2% | 75.0% (better) |
| MCP Atlaspublic set | 77.8% | 84.6% (better) |
| BrowseComp | 80.3% | 87.4% (better) |
| Humanity's Last Examwithout tools, text-only | 44.0% | 46.4% (better) |
Baidu's appendix to the ERNIE 5.5 Flash Preview announcement, every model at its highest reasoning setting. Where Baidu lists a lab's reported score beside its own run, the score Baidu measured is shown. DeepSeek-V4.1-Flash is the 1017 build. Left out here: AA-Omniscience-Public and AA-LCR (Artificial Analysis benchmarks), GPT-6.1 Sol on Terminal-Bench 4.0 (cited from Artificial Analysis), and the full-set Humanity's Last Exam scores in a row Baidu otherwise ran on the text-only subset.
Charts
Against every current text model
Where DeepSeek-V4.1-Flash and ERNIE 5.5 Flash Preview land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
Only DeepSeek-V4.1-Flash has a current Arena Text score: #16 of 48. Each bar is the share of current models it beats.
Independent benchmarks
Arena Text
DeepSeek-V4.1-Flash:#16of 48
1,475 Elo · ahead of 66%
ERNIE 5.5 Flash Preview: Not scored
Arena WebDev
DeepSeek-V4.1-Flash:#12of 44
1,664 Elo · ahead of 74%
ERNIE 5.5 Flash Preview: Not scored
GPQA Diamond
DeepSeek-V4.1-Flash:#18of 40
93.2% · ahead of 56%
ERNIE 5.5 Flash Preview: Not scored
FrontierMath Tiers 1-3 (v2)
DeepSeek-V4.1-Flash:#22of 39
71.2% · ahead of 45%
ERNIE 5.5 Flash Preview: Not scored
SimpleQA Verified
DeepSeek-V4.1-Flash:#26of 36
42.5% · ahead of 29%
ERNIE 5.5 Flash Preview: Not scored
Price and context
Price per 1M input tokens
DeepSeek-V4.1-Flash:#13of 57
$0.30 · cheaper than 71%
ERNIE 5.5 Flash Preview:#12of 57
$0.28 · cheaper than 80%
Price per 1M output tokens
DeepSeek-V4.1-Flash:#13of 57
$1.20 · cheaper than 73%
ERNIE 5.5 Flash Preview:#12of 57
$1.13 · cheaper than 80%
Context window
DeepSeek-V4.1-Flash:#29of 67
1M tokens · longer than 24%
ERNIE 5.5 Flash Preview:#29of 67
1M tokens · longer than 24%
Quality against price
DeepSeek-V4.1-Flash scores 1,475 at $0.525 (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 | 1,526 | |
| Gemini 4 Argon | $4 | 1,522 | |
| Muse Wonder | Meta | $8 | 1,511 |
| Claude Opus 5.5 | Anthropic | $8 | 1,506 |
| Gemini 3.8 Flash | $1.50 | 1,497 | |
| Muse Spark 1.3 | Meta | $2 | 1,496 |
| Kimi K3 | Moonshot Kimi | $6 | 1,487 |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,484 |
| Gemini 3.6 Flash | $3 | 1,483 | |
| GLM-5.3 | Z.ai | $2.15 | 1,483 |
| GPT-6.1 Sol | OpenAI | $4 | 1,482 |
| GPT-5.5 | OpenAI | $11 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| GPT-5.4 | OpenAI | $5.63 | 1,475 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,475 |
| GPT-6 Astra | OpenAI | $20 | 1,474 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,474 |
| Gemini 3 Flash Preview | $1.13 | 1,473 | |
| Grok 4.20 | xAI | $1.56 | 1,472 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,472 |
| GPT-5.6 Terra | OpenAI | $4.50 | 1,468 |
| Grok 4.5 | xAI | $3 | 1,466 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,464 |
| GPT-6 Sol | OpenAI | $4 | 1,457 |
| Grok 4.6 | xAI | $3 | 1,456 |
| Gemini 3.5 Flash-Lite | $0.85 | 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 |
| Grok 4.7 | xAI | $3 | 1,442 |
| GPT-6 Luna | OpenAI | $0.20 | 1,441 |
| Mistral Large 4 | Mistral AI | $1.05 | 1,423 |
| Claude Haiku 5.5 | Anthropic | $0.20 | 1,422 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Inkling 2 Small | Thinking Machines Lab | $0.47 | 1,412 |
| Solar Pro 4 | Upstage | $0.52 | 1,387 |
| 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, DeepSeek-V4.1-Flash costs 1.1 times as much as ERNIE 5.5 Flash Preview, at each provider's listed rates.
10M input and 2M output tokens
DeepSeek-V4.1-Flash costs 1.1× as much
- DeepSeek-V4.1-Flash
- $5.40
- ERNIE 5.5 Flash Preview
- $5.06
The same, with 9M of the input tokens cached
ERNIE 5.5 Flash Preview costs 1.0× as much
- DeepSeek-V4.1-Flash
- $2.75
- ERNIE 5.5 Flash Preview
- $2.79
| Workload or rate | DeepSeek-V4.1-Flash | ERNIE 5.5 Flash Preview |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $5.40 | $5.06 (better) |
| The same, with 9M of the input tokens cached | $2.75 (better) | $2.79 |
| Other listed rates | ||
| 1M input tokens, cached | $0.006 (better) | $0.028 |
| 1M input tokens, off peak | $0.15 | Not listed |
| 1M output tokens, off peak | $0.60 | Not listed |
| 1M input tokens, off-peak, cached | $0.003 | Not listed |
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
DeepSeek-V4.1-Flash
Where it leads
- Accepts image input
- Open weights you can run yourself
- Cheaper cached input, $0.006 vs $0.028 per 1M tokens
Best for
- High-volume agent and multimodal workloads where per-token cost dominates
- Teams that want a frontier-adjacent model they can also self-host under MIT terms
Watch out for
- The recorded API rates are the peak-hour prices; DeepSeek charges half outside 01:00-04:00 and 06:00-10:00 UTC on weekdays
- Running the open weights moves cost to your own infrastructure, which the token rates here do not represent
- Epoch AI and Arena WebDev scored build 1017, which the API serves; Arena Text has rated only the September build so far
ERNIE 5.5 Flash Preview
Where it leads
- Lower input and output prices, $0.28 and $1.13 vs $0.30 and $1.20 per 1M tokens
- Longer responses, up to 1,000,000 vs 384,000 output tokens
Best for
- Low-cost agents for spreadsheets, office documents and tool calls over MCP, where text input is enough
- Long-horizon coding and game or 3D scene building inside an agent harness, at a Flash-tier price
Watch out for
- A preview, served only through Baidu Qianfan: Baidu says the weights will be open-sourced under Apache 2.0 soon, but they are not out yet
- Text only: it cannot read images, and in Baidu tests that needed vision a tool running Claude Opus 5.5 described the screen for it
- In Baidu's own table it trails Hy4 on APEX-Agents 1.1 (64.2% against 75.0%) and DeepSeek-V4.1-Flash on DeepSWE v1.1 (71.2% against 77.0%), and stays far behind GPT-6.1 Sol and Claude Opus 5.5 on Terminal-Bench-Science 0.1 (21.0% against 57.0% and 63.3%)
- Epoch AI and Arena have not scored it yet
From benchmark to production
Building on DeepSeek-V4.1-Flash or ERNIE 5.5 Flash Preview?
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
DeepSeek-V4.1-Flash vs ERNIE 5.5 Flash Preview FAQ
Which is cheaper, DeepSeek-V4.1-Flash or ERNIE 5.5 Flash Preview?
ERNIE 5.5 Flash Preview is 7% cheaper per 1M input tokens than DeepSeek-V4.1-Flash, $0.28 vs $0.30. For 10M input and 2M output tokens, DeepSeek-V4.1-Flash costs $5.40 and ERNIE 5.5 Flash Preview $5.06 at standard rates.
Which is cheaper with prompt caching, DeepSeek-V4.1-Flash or ERNIE 5.5 Flash Preview?
DeepSeek-V4.1-Flash charges $0.006 per 1M cached input tokens, 98% below its standard input rate, and ERNIE 5.5 Flash Preview $0.028, 90% below. With 9M of 10M input tokens cached and 2M output tokens, DeepSeek-V4.1-Flash costs $2.75 and ERNIE 5.5 Flash Preview $2.79.
How do DeepSeek-V4.1-Flash and ERNIE 5.5 Flash Preview compare in Baidu's own results?
In the ERNIE 5.5 Flash Preview launch table (November 11, 2026), ERNIE 5.5 Flash Preview leads on Terminal-Bench 4.0, 46.5% to 40.9%; DeepSeek-V4.1-Flash leads on DeepSWE v1.1, 77.0% to 71.2%; ERNIE 5.5 Flash Preview leads on ProgramBench (almost solved), 29.5% to 27.5%. These are Baidu's figures, not independent measurements.
Which has the larger context window, DeepSeek-V4.1-Flash or ERNIE 5.5 Flash Preview?
Both accept 1,000,000 tokens of context. ERNIE 5.5 Flash Preview returns up to 1,000,000 tokens per response, DeepSeek-V4.1-Flash 384,000.
How do DeepSeek-V4.1-Flash and ERNIE 5.5 Flash Preview differ in features?
DeepSeek-V4.1-Flash takes text and image input; ERNIE 5.5 Flash Preview takes text.
Can I run DeepSeek-V4.1-Flash or ERNIE 5.5 Flash Preview myself?
DeepSeek-V4.1-Flash is released as open weights you can run yourself; ERNIE 5.5 Flash Preview is available through its provider's API only.
Further reading
More on DeepSeek-V4.1-Flash and ERNIE 5.5 Flash Preview
Articles on DeepSeek-V4.1-Flash and ERNIE 5.5 Flash Preview
- DeepSeek V4.1 Flash 1017: What Changed and Why Chips FellOctober 19, 2026
Related comparisons
- Claude Haiku 5.5 vs DeepSeek-V4.1-Flash
- ERNIE 5.5 Flash Preview vs Gemini 3.5 Flash-Lite
- DeepSeek-V4.1-Flash vs GPT-6 Luna
- ERNIE 5.5 Flash Preview vs GLM-5.3
- DeepSeek-V4.1-Flash vs GPT-6 Sol
- ERNIE 5.5 Flash Preview vs GLM-5.3-Flash
- Claude Sonnet 5 vs DeepSeek-V4.1-Flash
- ERNIE 5.5 Flash Preview vs Hy4
- DeepSeek-V4.1-Flash vs DeepSeek-V4-Pro
- ERNIE 5.5 Flash Preview vs Inkling 2 Small
- DeepSeek-V4.1-Flash vs Gemini 3.7 Flash
- ERNIE 5.5 Flash Preview vs LongCat-2.5
Production evaluation
Choosing between DeepSeek-V4.1-Flash and ERNIE 5.5 Flash Preview?
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