Coding
Like-for-like- Gemini 3.6 Flash
- 58.9
- Supported · #30/183
- Mistral Large 3
- 26.0
- Supported · #176/183
- Basis
- BenchAlign lane · 4 vs 0 public rows
- Reading
- Gemini 3.6 Flash leads
Gemini 3.6 Flash vs Mistral Large 3
Updated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.
0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Share or export
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Coding work
Code generation, repair, and software-engineering tasks
Gemini 3.6 Flash
Gemini 3.6 Flash leads on the public coding lane, 58.9 to 26, with Supported evidence for both models and non-overlapping 90% intervals.
Confidence: stronger
Long documents
Prompts that approach the documented context limit
Gemini 3.6 Flash
Gemini 3.6 Flash has the larger documented context window.
Confidence: documented
Chat turn cost
1K fresh input + 500 output tokens
Mistral Large 3
Mistral Large 3 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Show secondary and unsupported calls
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Mistral Large 3
Mistral Large 3 has the lower estimated token cost for this stated workload. Mistral Large 3 has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
Repository review cost
50K fresh input + 3K output tokens
Mistral Large 3
Mistral Large 3 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Mistral Large 3 is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
Confidence: limited
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
8 Gemini 3.6 Flash only
- Shared results
- 0
- Gemini 3.6 Flash only
- 8
- Mistral Large 3 only
- 0
- Like-for-like categories
- 1 / 8
2 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
Agentic
Directional only- Gemini 3.6 Flash
- 50.7
- Supported · #60/151
- Mistral Large 3
- 42.8
- Estimated · #111/151
- Basis
- BenchAlign lane · 2 vs 0 public rows
- Reading
- Directional only
Knowledge
Directional only- Gemini 3.6 Flash
- 68.6
- Supported · #18/181
- Mistral Large 3
- 43.8
- Estimated · #124/181
- Basis
- BenchAlign lane · 2 vs 0 public rows
- Reading
- Directional only
Reasoning
Not comparable- Gemini 3.6 Flash
- 77.8
- Unranked · 2 rankable rows
- Mistral Large 3
- 46.0
- Unranked · 2 rankable rows
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Gemini 3.6 Flash
- Not ranked
- Mistral Large 3
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Gemini 3.6 Flash
- Not ranked
- Mistral Large 3
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Gemini 3.6 Flash
- 82.3
- Unranked · 1 rankable row
- Mistral Large 3
- 41.8
- Unranked · 1 rankable row
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Gemini 3.6 Flash
- Not ranked
- Mistral Large 3
- 41.4
- #100/120
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | Gemini 3.6 Flash | Mistral Large 3 | Basis | Reading |
|---|---|---|---|---|
| Coding | 58.9Supported · #30/183 | 26.0Supported · #176/183 | Like-for-likeBenchAlign lane · 4 vs 0 public rows | Gemini 3.6 Flash leads |
| Agentic | 50.7Supported · #60/151 | 42.8Estimated · #111/151 | Directional onlyBenchAlign lane · 2 vs 0 public rows | Directional only |
| Knowledge | 68.6Supported · #18/181 | 43.8Estimated · #124/181 | Directional onlyBenchAlign lane · 2 vs 0 public rows | Directional only |
| Reasoning | 77.8Unranked · 2 rankable rows | 46.0Unranked · 2 rankable rows | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 82.3Unranked · 1 rankable row | 41.8Unranked · 1 rankable row | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | 41.4#100/120 | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- Gemini 3.6 Flash
- $0.00525
- Fits in one request
- Mistral Large 3
- $0.00125
- Fits in one request
Mistral Large 3 has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- Gemini 3.6 Flash
- $0.0975
- Fits in one request
- Mistral Large 3
- $0.0295
- Fits in one request
Mistral Large 3 has the lower modeled cost
Costs use the listed standard API rates.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Gemini 3.6 Flash
- $0.135
- Fits in one request
- Mistral Large 3
- $0.125
- Fits in one request
- Cached input priced at the published list-input rate
Mistral Large 3 has the lower modeled cost
Mistral Large 3 has no published cached-input rate, so cached tokens use its listed input rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationGemini 3.6 FlashMistral Large 3
Context window
Maximum documented context; output-token limits may be lower.
Gemini 3.6 Flash
Mistral Large 3
256K
API model ID
Gemini 3.6 Flash
gemini-3.6-flash
Google Gemini 3.6 Flash model documentationMistral Large 3
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 3.6 Flash
$0.15 per 1M cached input tokens
Google Gemini API pricingMistral Large 3
Not published
Documented inputs
Gemini 3.6 Flash
text, image, video, audio, pdf
Google Gemini 3.6 Flash model documentationMistral Large 3
Not sourced
Documented outputs
Gemini 3.6 Flash
Mistral Large 3
Not sourced
Provider availability
Gemini 3.6 Flash
Generally Available · Gemini API, Google AI Studio
Google latest Gemini model guideMistral Large 3
Not sourced
Reasoning profile
Gemini 3.6 Flash
Reasoning
Mistral Large 3
Non-Reasoning
Weight access
Gemini 3.6 Flash
Proprietary
Mistral Large 3
Proprietary
License
Gemini 3.6 Flash
Proprietary
Mistral Large 3
Proprietary
Release date
Gemini 3.6 Flash
2026-07-21
Mistral Large 3
2025-12-02
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
- Workload cost
- Repository review: $0.0975 vs $0.0295. Cache-heavy agent loop: $0.135 vs $0.125.
- Context tradeoff
- Gemini 3.6 Flash has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Gemini 3.6 Flash
API / mo$6,750
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Mistral Large 3
API / mo$1,500
Self-host / mo$9,110
Break-even380M/day
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence8 rows
Agentic
Coding
deepSwe
Gemini 3.6 Flash49%SourceMistral Large 3—Not directly comparable
cursorBench32
Gemini 3.6 Flash53.5%SourceMistral Large 3—Not directly comparable
LiveCodeBench (Vals)
Gemini 3.6 Flash88.1%SourceMistral Large 3—Not directly comparable
SWE-bench (Vals)
Gemini 3.6 Flash79.6%SourceMistral Large 3—Not directly comparable
Knowledge
Frequently asked questions
Which is better, Gemini 3.6 Flash or Mistral Large 3?
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, Gemini 3.6 Flash or Mistral Large 3?
Gemini 3.6 Flash leads the public coding lane, 58.9 to 26, with Supported evidence for both models and non-overlapping 90% intervals.
Which is better for agentic tasks, Gemini 3.6 Flash or Mistral Large 3?
Gemini 3.6 Flash scores higher for agentic tasks on the public lane, 50.7 to 42.8. Mistral Large 3 is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which costs less, Gemini 3.6 Flash or Mistral Large 3?
For the stated presets, chat costs $0.00525 on Gemini 3.6 Flash and $0.00125 on Mistral Large 3; repository review costs $0.0975 and $0.0295; the cache-heavy agent loop costs $0.135 and $0.125. Mistral Large 3 has no published cached-input rate, so cached tokens use its listed input rate.
Which has the larger context window, Gemini 3.6 Flash or Mistral Large 3?
Gemini 3.6 Flash has the larger documented context window: 1M, compared with 256K.
Related comparisons
Last updated September 4, 2026
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