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VerdictPal · editorial desk · 2026VerdictPal
Compare · Head-to-head

Pick two cards. See the diff.

Stat bars are editorial heuristics, methodology linked — not a fake benchmark leaderboard. Put two dossiers side by side and see where each one breaks.
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Compare · Card A / Card B·Head-to-head

DeepSeekvsMistral Le Chat

In the General AI assistant set, Mistral Le Chat edges ahead overall (editorial fit 66 vs 50). DeepSeek wins on source quality and speed; Mistral Le Chat wins on citation honesty, privacy controls, and value for money. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

DeepSeek · avg
55
wins 5 of 16
Mistral Le Chat · avg
65
wins 10 of 16
Fields differ
10
of 16 dossier rows
Receipts
22
sources + bench notes

Checked 2026-06-09 · DeepSeek·Checked 2026-06-09 · Mistral Le Chat

Dossier fields

Sixteen fields, side by side.

No.FieldDeepSeekMistral Le Chat
01Status · Editorial quality gateSolidSolid
02Editorial fit · 0–100 score50 / 10066 / 100
03CategoryGeneral AI assistantGeneral AI assistant
04Primary surfaceConsumer appConsumer app
05Modalities
  • Text
  • Code
  • Text
  • Image
  • Data
06Role in a stackLow-cost reasoning and coding assistant / API model optionEU-headquartered assistant comparison and Mistral model sampler
07Best for
  • Cost-sensitive API experiments where token price matters more than ecosystem polish
  • Coding and reasoning comparisons against ChatGPT, Claude, Gemini, Mistral, and OpenRouter routes
  • Developers who want OpenAI-/Anthropic-compatible endpoints for inexpensive model routing tests
  • Users who can keep sensitive or unpublished research out of consumer chat and standard API calls
  • EU-headquartered assistant comparison when data-governance context matters
  • Sampling Mistral’s chat model family, deep research, image, document, voice, and coding-agent surfaces
  • Students who qualify for the lower student tier and want a non-US assistant option
  • Teams evaluating open-weight/self-host or private-deployment possibilities alongside hosted chat
08Avoid if
  • Your institution bars sending research data to China-based AI services
  • You need clear enterprise data-residency, retention, or no-training guarantees for consumer chat
  • You want the most mature assistant ecosystem, integrations, admin controls, or procurement story
  • You cannot monitor model-name deprecations and API compatibility changes
  • You expect Pro subscription credits to cover Mistral API usage
  • You need institutional EU-only data residency, zero retention, or private deployment without reviewing terms/enterprise options
  • You want the deepest US-model ecosystem integrations such as native Office or Google Workspace
  • You assume “EU company” means no retention, no training, or automatic research-data compliance
09Capabilities tracked
  • OpenAI- and Anthropic-compatible API
  • base URLs for both formats
  • V4-Flash and V4-Pro
  • thinking/non-thinking modes
  • 1M context
  • 384K max output
  • JSON output
  • tool calls
  • chat prefix completion beta
  • FIM completion beta in non-thinking mode
  • supported by agent/coding tools like Claude Code, GitHub Copilot, and OpenCode as backend model
  • low token pricing
  • high concurrency limits
  • Vibe / formerly Le Chat assistant
  • search/research workflows
  • higher Pro limits for messages, web search, extended thinking, deep research, images, and coding capacity
  • Vibe coding-agent/app-building surface
  • Mistral API tracked separately in Studio
  • AI Studio/Workflows
  • open-weight/self-host options
  • Team/Enterprise higher allowances
  • private deployment/support path
10Failure modes · Documented, not buried
  • Privacy/residency may be unacceptable institutionally
  • Consumer and API terms differ
  • Geopolitical/export-control context can affect access
  • Very high max output can cause runaway generation if max_tokens is not set
  • Legacy model names deprecate 2026-07-24
  • DeepSeek reserves right to adjust prices; docs need monitoring
  • Fair-use caps can apply on Pro
  • Pro does not include API credits by default
  • Le Chat/Vibe/API/Studio/Workflows naming can confuse
  • EU headquarters is not automatic compliance
  • Retention differs by surface
  • Open-weight does not always mean unrestricted commercial deployment
11Evidence levelEditorial · hands-onEditorial · hands-on
12Sources verified · Receipts on the dossier
13Benchmark entries
  • Run 20 reasoning/coding tasks on V4-Flash, V4-Pro, ChatGPT, Claude, Gemini, and OpenRouter routes.
    Pending.
  • Test a controlled 200K / 500K / 1M-token retrieval and summarization workload.
    Pending.
  • Swap OpenAI and Anthropic SDK configurations to DeepSeek base URLs.
    Pending.
  • Compare privacy, terms, residency, and policy constraints against ChatGPT, Claude, Gemini, and Mistral.
    Pending.
  • Run four assistant tasks against Mistral, ChatGPT, Claude, Gemini, and DeepSeek.
    Pending.
  • Evaluate one privacy-sensitive study workflow across Le Chat, API, and enterprise docs.
    Pending.
  • Build or modify a small app with Vibe and compare against ChatGPT/Codex, Claude Code, and Replit/Lovable.
    Pending.
  • Price a 20-task reasoning/coding workload across Mistral API, DeepSeek, OpenRouter, OpenAI, and Anthropic.
    Pending.
14Alternatives tracked
  • ChatGPT
  • Claude
  • Gemini
  • OpenRouter
  • Qwen
  • ChatGPT
  • Claude
  • Gemini
  • DeepSeek
  • OpenRouter
15Pricing checked2026-06-092026-06-09
16Last verified2026-06-092026-06-09
16 metrics

Sixteen numbers, one shared midline.

DeepSeekvsMistral Le Chat

In the General AI assistant set, Mistral Le Chat edges ahead overall (editorial fit 66 vs 50). DeepSeek wins on source quality and speed; Mistral Le Chat wins on citation honesty, privacy controls, and value for money. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

  1. Editorial fit
    DeepSeek50Mistral Le Chat66
  2. Source quality
    DeepSeek58Mistral Le Chat52
  3. Citation honesty
    DeepSeek54Mistral Le Chat58
  4. Privacy controls
    DeepSeek22Mistral Le Chat48
  5. Value for money
    DeepSeek45Mistral Le Chat70
  6. Speed
    DeepSeek68Mistral Le Chat58
  7. Integration
    DeepSeek55Mistral Le Chat72
  8. Onboarding
    DeepSeek68Mistral Le Chat58
  9. Reliability
    DeepSeek48Mistral Le Chat70
  10. Feature depth
    DeepSeek62Mistral Le Chat93
  11. Data portability
    DeepSeek65Mistral Le Chat65
  12. Transparency
    DeepSeek98Mistral Le Chat92
  13. Ecosystem reach
    DeepSeek55Mistral Le Chat72
  14. Documentation
    DeepSeek58Mistral Le Chat52
  15. Independence
    DeepSeek22Mistral Le Chat48
  16. Affordability
    DeepSeek55Mistral Le Chat61
DeepSeek · avg 55 · wins 5 of 160avg 65 · wins 10 of 16 · Mistral Le Chat
EvidenceDeepSeek 1 · Mistral Le Chat 3
  1. 01Editorial fit
    50
    66
  2. 02Source quality
    58
    52
  3. 03Citation honesty
    54
    58
  4. 04Privacy controls
    22
    48
PrivacyDeepSeek 2 · Mistral Le Chat 2
  1. 05Value for money
    45
    70
  2. 06Speed
    68
    58
  3. 07Integration
    55
    72
  4. 08Onboarding
    68
    58
CapabilityDeepSeek 1 · Mistral Le Chat 2
  1. 09Reliability
    48
    70
  2. 10Feature depth
    62
    93
  3. 11Data portability
    65
    65
  4. 12Transparency
    98
    92
Cost & fitDeepSeek 1 · Mistral Le Chat 3
  1. 13Ecosystem reach
    55
    72
  2. 14Documentation
    58
    52
  3. 15Independence
    22
    48
  4. 16Affordability
    55
    61
CARD A · DeepSeek
General AI assistant
DeepSeek
50/100
ROLELow-cost reasoning and coding assistant / API model option
Editorial fit
50
Source quality
58
Citation honesty
54
Privacy controls
22
Value for money
45
Speed
68
FREEVerified 2026-06-07
FREEFree
CUSTOMPro
SolidVerified 2026-06-09VP·METHOD

Low-cost reasoning and coding assistant / API model option — Low-cost consumer chat and API model provider for reasoning, coding, and OpenAI-/Anthropic-compatible model routing, with unusually low token prices and important privacy, residency, and institutional-risk caveats.

CARD B · Mistral Le Chat
General AI assistant
Mistral Le Chat
66/100
ROLEEU-headquartered assistant comparison and Mistral model sampler
Editorial fit
66
Source quality
52
Citation honesty
58
Privacy controls
48
Value for money
70
Speed
58
FREEFree
$14.99/MOPro
$6.99/MOStudent Pro
SolidVerified 2026-06-09VP·METHOD

EU-headquartered assistant comparison and Mistral model sampler — Mistral’s EU-headquartered consumer assistant and model ecosystem for chat, search, research, document work, image features, coding-agent workflows, and API/model access, with Pro separate from API billing.

Privacy facets

Where each card is actually private.

DeepSeekMistral Le Chat
Training on your dataUnknownUnknown: Not statedUnknownUnknown: Not stated
EU data residencyNoNo: Not documentedNoNo: Not documented
SOC 2 attestationNoNo: Not documentedNoNo: Not documented
Local-first by defaultPartialPartial: Local option availableNoNo: Cloud only
Capability split

What each card does uniquely.

Only DeepSeek13

  • OpenAI- and Anthropic-compatible API
  • base URLs for both formats
  • V4-Flash and V4-Pro
  • thinking/non-thinking modes
  • 1M context
  • 384K max output
  • JSON output
  • tool calls
  • chat prefix completion beta
  • FIM completion beta in non-thinking mode
  • supported by agent/coding tools like Claude Code, GitHub Copilot, and OpenCode as backend model
  • low token pricing
  • high concurrency limits

Shared0

No overlap detected.

Only Mistral Le Chat9

  • Vibe / formerly Le Chat assistant
  • search/research workflows
  • higher Pro limits for messages, web search, extended thinking, deep research, images, and coding capacity
  • Vibe coding-agent/app-building surface
  • Mistral API tracked separately in Studio
  • AI Studio/Workflows
  • open-weight/self-host options
  • Team/Enterprise higher allowances
  • private deployment/support path
Failure modes

Where each card breaks.

DeepSeek

  • Privacy/residency may be unacceptable institutionally
  • Consumer and API terms differ
  • Geopolitical/export-control context can affect access
  • Very high max output can cause runaway generation if max_tokens is not set
  • Legacy model names deprecate 2026-07-24
  • DeepSeek reserves right to adjust prices; docs need monitoring

Mistral Le Chat

  • Fair-use caps can apply on Pro
  • Pro does not include API credits by default
  • Le Chat/Vibe/API/Studio/Workflows naming can confuse
  • EU headquarters is not automatic compliance
  • Retention differs by surface
  • Open-weight does not always mean unrestricted commercial deployment
Pricing

Pulled straight from each dossier.

DeepSeek

General AI assistant
  • FREEVerified 2026-06-07
  • FREEFree
  • CUSTOMPro

raw · Verified 2026-06-07 from official DeepSeek API docs: V4-Flash $0.0028/1M cache-hit input, $0.14/1M cache-miss input, $0.28/1M output; V4-Pro $0.003625/1M cache-hit input, $0.435/1M cache-miss input, $0.87/1M output. Both list 1M context, max 384K output, JSON output, tool calls, chat prefix beta, FIM beta in non-thinking mode, and OpenAI/Anthropic base URLs. Concurrency limits: 2500 Flash, 500 Pro. deepseek-chat and deepseek-reasoner deprecate 2026-07-24 15:59 UTC.

Mistral Le Chat

General AI assistant
  • FREEFree
  • $14.99/MOPro
  • $6.99/MOStudent Pro

raw · Official Mistral pricing page says Free is for getting started, Pro offers higher limits across chat plus Vibe coding with more messages, web searches, extended thinking, deep research reports, image generations, Vibe capacity, and chat/email support. Existing price note remains Pro $14.99/month and Student Pro $5.99/month. Team/Enterprise have higher allowances; pricing page example says Team has 200 Flash answers/day vs 150/day on Pro. API consumption is separate and tracked in Mistral Studio across calls, endpoints, users, completion, OCR, and fine-tuning costs.

Verdict

Which card to actually pick.

In the General AI assistant set, Mistral Le Chat edges ahead overall (editorial fit 66 vs 50). DeepSeek wins on source quality and speed; Mistral Le Chat wins on citation honesty, privacy controls, and value for money. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

Open DeepSeek's dossierOpen Mistral Le Chat's dossier
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